Default string Default string
Geekbench AI Score
3461
Single Precision Score
3490
Half Precision Score
8011
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 10 2025 07:36 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Default string Default string |
| Motherboard | Default string Default string |
| Power Plan | 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1780
331.0 IPS |
|
|
Image Classification (HP)
|
100% |
1787
332.4 IPS |
|
|
Image Classification (Q)
|
100% |
5224
971.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2224
36.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2251
36.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
6207
100.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6469
7.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
6478
7.56 IPS |
|
|
Pose Estimation (Q)
|
98% |
19980
23.4 IPS |
|
|
Object Detection (SP)
|
100% |
1724
136.8 IPS |
|
|
Object Detection (HP)
|
100% |
1761
139.6 IPS |
|
|
Object Detection (Q)
|
88% |
4754
381.1 IPS |
|
|
Face Detection (SP)
|
100% |
5277
62.7 IPS |
|
|
Face Detection (HP)
|
100% |
5244
62.3 IPS |
|
|
Face Detection (Q)
|
100% |
12690
150.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5418
41.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
5673
43.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
12767
99.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14608
18.8 IPS |
|
|
Style Transfer (HP)
|
100% |
15526
20.0 IPS |
|
|
Style Transfer (Q)
|
98% |
37237
48.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2102
77.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2256
83.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7033
260.5 IPS |
|
|
Text Classification (SP)
|
100% |
1635
2.18 KIPS |
|
|
Text Classification (HP)
|
100% |
1543
2.06 KIPS |
|
|
Text Classification (Q)
|
92% |
1970
2.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3899
67.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3640
62.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4232
72.9 IPS |
