Generic
Geekbench AI Score
3417
Single Precision Score
4538
Half Precision Score
2472
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | kinski |
| Upload Date | September 26 2024 02:52 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1291
240.1 IPS |
|
|
Image Classification (HP)
|
100% |
1659
308.4 IPS |
|
|
Image Classification (Q)
|
99% |
1069
199.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1554
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1885
30.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1295
21.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
14011
16.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
25089
29.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
11472
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1492
118.3 IPS |
|
|
Object Detection (HP)
|
100% |
1832
145.4 IPS |
|
|
Object Detection (Q)
|
89% |
1256
100.5 IPS |
|
|
Face Detection (SP)
|
100% |
3065
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
4238
50.4 IPS |
|
|
Face Detection (Q)
|
97% |
2381
28.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8057
62.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
11354
87.5 IPS |
|
|
Depth Estimation (Q)
|
72% |
5847
48.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24048
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
39074
50.2 IPS |
|
|
Style Transfer (Q)
|
98% |
19056
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4982
184.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7067
260.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3336
123.5 IPS |
|
|
Text Classification (SP)
|
100% |
1044
1.39 KIPS |
|
|
Text Classification (HP)
|
100% |
1051
1.40 KIPS |
|
|
Text Classification (Q)
|
97% |
702
940.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1676
28.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1847
31.8 IPS |
|
|
Machine Translation (Q)
|
60% |
688
15.5 IPS |
