Generic
Geekbench ML Score
4207
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows x86 (64-bit)
Result Information
| User | orion1 |
| Upload Date | January 24 2025 08:04 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock P45DE |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core 2 Quad Q9650 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 23 Stepping 10 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 32.0 KB x 4 |
| L2 Cache | 6.00 MB x 2 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Type | SDRAM |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Radeon RX 580 Series |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2524
472.3 IPS |
|
|
Image Classification (F16)
|
100% |
2545
476.2 IPS |
|
|
Image Classification (I8)
|
99% |
2030
379.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1476
24.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1589
26.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
1427
23.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
54428
65.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
55913
67.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
41885
50.7 IPS |
|
|
Object Detection (F32)
|
100% |
1024
76.4 IPS |
|
|
Object Detection (F16)
|
100% |
1027
76.7 IPS |
|
|
Object Detection (I8)
|
57% |
1112
83.0 IPS |
|
|
Face Detection (F32)
|
100% |
5399
64.2 IPS |
|
|
Face Detection (F16)
|
100% |
5439
64.7 IPS |
|
|
Face Detection (I8)
|
88% |
4480
53.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
17201
133.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
17465
135.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
13254
102.8 IPS |
|
|
Style Transfer (F32)
|
100% |
76310
100.4 IPS |
|
|
Style Transfer (F16)
|
100% |
43200
56.8 IPS |
|
|
Style Transfer (I8)
|
98% |
37307
49.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5040
180.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5198
185.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3634
129.8 IPS |
|
|
Text Classification (F32)
|
100% |
1022
1.47 KIPS |
|
|
Text Classification (F16)
|
100% |
1057
1.52 KIPS |
|
|
Text Classification (I8)
|
98% |
658
946.0 IPS |
|
|
Machine Translation (F32)
|
100% |
583
10.7 IPS |
|
|
Machine Translation (F16)
|
100% |
582
10.7 IPS |
|
|
Machine Translation (I8)
|
69% |
545
10.0 IPS |
