Gigabyte Technology Co., Ltd. X570S AORUS PRO AX
Geekbench ML Score
25012
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 03:07 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X570S AORUS PRO AX |
| Motherboard | Gigabyte Technology Co., Ltd. X570S AORUS PRO AX |
| Power Plan | Bitsum Highest Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 32.0 KB x 12 |
| L2 Cache | 512 KB x 12 |
| L3 Cache | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
10675
2.00 KIPS |
|
|
Image Classification (F16)
|
100% |
11201
2.10 KIPS |
|
|
Image Classification (I8)
|
100% |
9274
1.74 KIPS |
|
|
Image Segmentation (F32)
|
100% |
18139
302.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
16397
273.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
16781
280.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
239582
290.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
239305
289.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
209757
254.0 IPS |
|
|
Object Detection (F32)
|
100% |
6631
495.0 IPS |
|
|
Object Detection (F16)
|
100% |
6757
504.5 IPS |
|
|
Object Detection (I8)
|
56% |
6249
466.6 IPS |
|
|
Face Detection (F32)
|
100% |
38984
463.5 IPS |
|
|
Face Detection (F16)
|
100% |
40272
478.8 IPS |
|
|
Face Detection (I8)
|
89% |
33715
400.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
73764
572.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
69044
535.4 IPS |
|
|
Depth Estimation (I8)
|
94% |
56018
434.4 IPS |
|
|
Style Transfer (F32)
|
100% |
349600
459.9 IPS |
|
|
Style Transfer (F16)
|
100% |
349895
460.3 IPS |
|
|
Style Transfer (I8)
|
98% |
307867
405.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
48592
1.74 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
48262
1.72 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
37314
1.33 KIPS |
|
|
Text Classification (F32)
|
100% |
2784
4.00 KIPS |
|
|
Text Classification (F16)
|
100% |
2761
3.97 KIPS |
|
|
Text Classification (I8)
|
98% |
1813
2.61 KIPS |
|
|
Machine Translation (F32)
|
100% |
4927
90.7 IPS |
|
|
Machine Translation (F16)
|
100% |
4937
90.9 IPS |
|
|
Machine Translation (I8)
|
70% |
2800
51.5 IPS |
