Generic
Geekbench ML Score
4297
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows x86 (64-bit)
Result Information
| User | orion1 |
| Upload Date | September 04 2024 07:03 AM |
| Views | 3 |
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% |
2304
431.2 IPS |
|
|
Image Classification (F16)
|
100% |
2046
382.9 IPS |
|
|
Image Classification (I8)
|
99% |
1893
354.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1822
30.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1454
24.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
1262
21.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
53615
64.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
54457
65.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
42545
51.5 IPS |
|
|
Object Detection (F32)
|
100% |
1171
87.4 IPS |
|
|
Object Detection (F16)
|
100% |
1173
87.6 IPS |
|
|
Object Detection (I8)
|
57% |
1126
84.0 IPS |
|
|
Face Detection (F32)
|
100% |
5278
62.8 IPS |
|
|
Face Detection (F16)
|
100% |
5369
63.8 IPS |
|
|
Face Detection (I8)
|
88% |
4548
54.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
16536
128.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
16824
130.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
13112
101.7 IPS |
|
|
Style Transfer (F32)
|
100% |
71507
94.1 IPS |
|
|
Style Transfer (F16)
|
100% |
75052
98.7 IPS |
|
|
Style Transfer (I8)
|
98% |
59494
78.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4855
173.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5078
181.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3727
133.1 IPS |
|
|
Text Classification (F32)
|
100% |
1077
1.55 KIPS |
|
|
Text Classification (F16)
|
100% |
1082
1.56 KIPS |
|
|
Text Classification (I8)
|
98% |
676
972.0 IPS |
|
|
Machine Translation (F32)
|
100% |
547
10.1 IPS |
|
|
Machine Translation (F16)
|
100% |
548
10.1 IPS |
|
|
Machine Translation (I8)
|
69% |
533
9.81 IPS |
