ASUS System Product Name
Geekbench ML Score
20997
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 04 2024 09:22 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E EXTREME |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 32.0 KB x 16 |
| L2 Cache | 1.00 MB x 16 |
| L3 Cache | 96.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XTX |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
12202
2.28 KIPS |
|
|
Image Classification (F16)
|
100% |
12229
2.29 KIPS |
|
|
Image Classification (I8)
|
100% |
9867
1.85 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13849
231.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
14094
235.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
12668
211.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
234880
284.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
234121
283.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
207611
251.4 IPS |
|
|
Object Detection (F32)
|
100% |
4554
340.0 IPS |
|
|
Object Detection (F16)
|
100% |
4895
365.5 IPS |
|
|
Object Detection (I8)
|
56% |
4513
336.9 IPS |
|
|
Face Detection (F32)
|
100% |
40579
482.5 IPS |
|
|
Face Detection (F16)
|
100% |
40015
475.8 IPS |
|
|
Face Detection (I8)
|
88% |
33904
403.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
61752
478.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
62232
482.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
48920
379.4 IPS |
|
|
Style Transfer (F32)
|
100% |
230271
302.9 IPS |
|
|
Style Transfer (F16)
|
100% |
230101
302.7 IPS |
|
|
Style Transfer (I8)
|
98% |
205822
270.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
24997
892.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
24775
884.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
18296
653.4 IPS |
|
|
Text Classification (F32)
|
100% |
3400
4.89 KIPS |
|
|
Text Classification (F16)
|
100% |
3383
4.86 KIPS |
|
|
Text Classification (I8)
|
98% |
1917
2.75 KIPS |
|
|
Machine Translation (F32)
|
100% |
4136
76.1 IPS |
|
|
Machine Translation (F16)
|
100% |
4123
75.9 IPS |
|
|
Machine Translation (I8)
|
70% |
2301
42.3 IPS |
