B450M-HDV R4.0
Geekbench ML Score
1541
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 11 2025 10:27 AM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | B450M-HDV R4.0 |
| Motherboard | ASRock B450M-HDV R4.0 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 2700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 8 Stepping 2 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 64.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 512 KB x 8 |
| L3 Cache | 8.00 MB x 2 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
886
165.7 IPS |
|
|
Image Classification (F16)
|
100% |
885
165.7 IPS |
|
|
Image Classification (I8)
|
97% |
1027
192.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
538
8.98 IPS |
|
|
Image Segmentation (F16)
|
100% |
547
9.14 IPS |
|
|
Image Segmentation (I8)
|
97% |
1059
17.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
2801
3.39 IPS |
|
|
Pose Estimation (F16)
|
100% |
2800
3.39 IPS |
|
|
Pose Estimation (I8)
|
100% |
2652
3.21 IPS |
|
|
Object Detection (F32)
|
100% |
937
70.0 IPS |
|
|
Object Detection (F16)
|
100% |
940
70.2 IPS |
|
|
Object Detection (I8)
|
60% |
727
54.3 IPS |
|
|
Face Detection (F32)
|
100% |
1902
22.6 IPS |
|
|
Face Detection (F16)
|
100% |
1911
22.7 IPS |
|
|
Face Detection (I8)
|
87% |
2097
24.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
3419
26.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
3437
26.7 IPS |
|
|
Depth Estimation (I8)
|
74% |
3321
25.8 IPS |
|
|
Style Transfer (F32)
|
100% |
7188
9.46 IPS |
|
|
Style Transfer (F16)
|
100% |
7179
9.44 IPS |
|
|
Style Transfer (I8)
|
85% |
6382
8.39 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1383
49.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1379
49.2 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1167
41.7 IPS |
|
|
Text Classification (F32)
|
100% |
796
1.14 KIPS |
|
|
Text Classification (F16)
|
100% |
792
1.14 KIPS |
|
|
Text Classification (I8)
|
94% |
522
750.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1201
22.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1213
22.3 IPS |
|
|
Machine Translation (I8)
|
67% |
1234
22.7 IPS |
