Generic
Geekbench AI Score
3134
Single Precision Score
4357
Half Precision Score
2259
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | kinski |
| Upload Date | August 20 2024 04:13 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock X300M-STX |
| Power Plan | AMD Ryzen High Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 PRO 4750G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 96 Stepping 1 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1130
210.1 IPS |
|
|
Image Classification (HP)
|
100% |
1575
292.8 IPS |
|
|
Image Classification (Q)
|
99% |
965
179.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1434
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1785
28.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1224
19.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13839
16.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
24868
29.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
11004
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1292
102.5 IPS |
|
|
Object Detection (HP)
|
100% |
1739
137.9 IPS |
|
|
Object Detection (Q)
|
89% |
1098
87.9 IPS |
|
|
Face Detection (SP)
|
100% |
2646
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
3886
46.2 IPS |
|
|
Face Detection (Q)
|
97% |
2057
24.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7448
57.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
10895
83.9 IPS |
|
|
Depth Estimation (Q)
|
72% |
5220
43.0 IPS |
|
|
Style Transfer (SP)
|
100% |
23674
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38659
49.7 IPS |
|
|
Style Transfer (Q)
|
98% |
18005
23.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4530
167.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6862
253.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3007
111.3 IPS |
|
|
Text Classification (SP)
|
100% |
998
1.33 KIPS |
|
|
Text Classification (HP)
|
100% |
1086
1.45 KIPS |
|
|
Text Classification (Q)
|
97% |
696
932.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1496
25.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1663
28.6 IPS |
|
|
Machine Translation (Q)
|
60% |
600
13.5 IPS |
