ASUS System Product Name
Geekbench ML Score
22349
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 09 2024 06:24 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B550-A GAMING |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 4.65 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 512 KB x 8 |
| L3 Cache | 32.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 SUPER |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
10649
1.99 KIPS |
|
|
Image Classification (F16)
|
100% |
10710
2.00 KIPS |
|
|
Image Classification (I8)
|
100% |
9169
1.72 KIPS |
|
|
Image Segmentation (F32)
|
100% |
16966
283.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
16647
278.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
15039
251.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
162981
197.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
163433
197.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
146181
177.0 IPS |
|
|
Object Detection (F32)
|
100% |
6215
464.0 IPS |
|
|
Object Detection (F16)
|
100% |
6242
466.0 IPS |
|
|
Object Detection (I8)
|
63% |
5907
441.0 IPS |
|
|
Face Detection (F32)
|
100% |
31930
379.7 IPS |
|
|
Face Detection (F16)
|
100% |
33232
395.1 IPS |
|
|
Face Detection (I8)
|
89% |
28153
334.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
64377
499.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
60047
465.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
48898
379.2 IPS |
|
|
Style Transfer (F32)
|
100% |
287239
377.8 IPS |
|
|
Style Transfer (F16)
|
100% |
283688
373.2 IPS |
|
|
Style Transfer (I8)
|
98% |
254199
334.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
44996
1.61 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
45923
1.64 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
32555
1.16 KIPS |
|
|
Text Classification (F32)
|
100% |
2952
4.24 KIPS |
|
|
Text Classification (F16)
|
100% |
2925
4.20 KIPS |
|
|
Text Classification (I8)
|
98% |
1846
2.65 KIPS |
|
|
Machine Translation (F32)
|
100% |
4714
86.7 IPS |
|
|
Machine Translation (F16)
|
100% |
4692
86.3 IPS |
|
|
Machine Translation (I8)
|
70% |
2736
50.3 IPS |
