System manufacturer System Product Name
Geekbench ML Score
8277
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 09 2025 03:21 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B450-PLUS |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 4.60 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 512 KB x 6 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA Tesla P100-PCIE-16GB |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3597
673.1 IPS |
|
|
Image Classification (F16)
|
100% |
3606
674.8 IPS |
|
|
Image Classification (I8)
|
100% |
2652
496.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
5386
90.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
5367
89.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
4394
73.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
70455
85.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
70454
85.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
53391
64.7 IPS |
|
|
Object Detection (F32)
|
100% |
3439
256.8 IPS |
|
|
Object Detection (F16)
|
100% |
3459
258.3 IPS |
|
|
Object Detection (I8)
|
61% |
2806
209.5 IPS |
|
|
Face Detection (F32)
|
100% |
9595
114.1 IPS |
|
|
Face Detection (F16)
|
100% |
9602
114.2 IPS |
|
|
Face Detection (I8)
|
89% |
6752
80.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
22229
172.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
22258
172.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
15717
121.9 IPS |
|
|
Style Transfer (F32)
|
100% |
117710
154.8 IPS |
|
|
Style Transfer (F16)
|
100% |
105723
139.1 IPS |
|
|
Style Transfer (I8)
|
98% |
78270
103.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
19689
703.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
19473
695.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
10757
384.2 IPS |
|
|
Text Classification (F32)
|
100% |
931
1.34 KIPS |
|
|
Text Classification (F16)
|
100% |
1007
1.45 KIPS |
|
|
Text Classification (I8)
|
98% |
686
985.6 IPS |
|
|
Machine Translation (F32)
|
100% |
2500
46.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2476
45.6 IPS |
|
|
Machine Translation (I8)
|
70% |
1152
21.2 IPS |
