System manufacturer System Product Name
Geekbench ML Score
8274
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 30 2024 08:23 AM |
| Views | 1 |
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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA Tesla P100-PCIE-16GB |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3589
671.5 IPS |
|
|
Image Classification (F16)
|
100% |
3596
673.0 IPS |
|
|
Image Classification (I8)
|
100% |
2646
495.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
5691
95.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
5316
88.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
4040
67.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
63424
76.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
63447
76.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
49804
60.3 IPS |
|
|
Object Detection (F32)
|
100% |
3375
251.9 IPS |
|
|
Object Detection (F16)
|
100% |
3391
253.2 IPS |
|
|
Object Detection (I8)
|
61% |
2790
208.3 IPS |
|
|
Face Detection (F32)
|
100% |
9539
113.4 IPS |
|
|
Face Detection (F16)
|
100% |
9540
113.4 IPS |
|
|
Face Detection (I8)
|
89% |
6771
80.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
22376
173.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
22461
174.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
15685
121.6 IPS |
|
|
Style Transfer (F32)
|
100% |
115606
152.1 IPS |
|
|
Style Transfer (F16)
|
100% |
115058
151.3 IPS |
|
|
Style Transfer (I8)
|
98% |
84504
111.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
20688
738.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
20739
740.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
11501
410.7 IPS |
|
|
Text Classification (F32)
|
100% |
1004
1.44 KIPS |
|
|
Text Classification (F16)
|
100% |
1008
1.45 KIPS |
|
|
Text Classification (I8)
|
98% |
685
984.7 IPS |
|
|
Machine Translation (F32)
|
100% |
2451
45.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2450
45.1 IPS |
|
|
Machine Translation (I8)
|
70% |
1135
20.9 IPS |
