Default string Default string
Geekbench AI Score
21201
Single Precision Score
29489
Half Precision Score
13554
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | nithinmohantk |
| Upload Date | July 24 2025 02:41 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Default string Default string |
| Motherboard | Default string Default string |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8573
1.59 KIPS |
|
|
Image Classification (HP)
|
99% |
11410
2.13 KIPS |
|
|
Image Classification (Q)
|
100% |
5965
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11756
190.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
14313
232.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
9139
148.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
167430
195.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
327597
382.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
122822
143.9 IPS |
|
|
Object Detection (SP)
|
100% |
10707
849.3 IPS |
|
|
Object Detection (HP)
|
100% |
14161
1.12 KIPS |
|
|
Object Detection (Q)
|
85% |
7588
610.4 IPS |
|
|
Face Detection (SP)
|
100% |
26934
320.0 IPS |
|
|
Face Detection (HP)
|
100% |
35269
419.1 IPS |
|
|
Face Detection (Q)
|
97% |
19086
227.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
61151
471.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
97936
754.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
36377
291.3 IPS |
|
|
Style Transfer (SP)
|
100% |
257263
330.7 IPS |
|
|
Style Transfer (HP)
|
100% |
550994
708.3 IPS |
|
|
Style Transfer (Q)
|
98% |
186776
240.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35563
1.31 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
46093
1.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20223
748.8 IPS |
|
|
Text Classification (SP)
|
100% |
2330
3.11 KIPS |
|
|
Text Classification (HP)
|
99% |
2720
3.63 KIPS |
|
|
Text Classification (Q)
|
97% |
1237
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
2893
49.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2751
47.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1270
23.8 IPS |
