Default string Default string
Geekbench AI Score
3663
Single Precision Score
3797
Half Precision Score
8206
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 23 2025 01:16 AM |
| 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 w/ Radeon 890M |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1679
312.2 IPS |
|
|
Image Classification (HP)
|
100% |
1682
312.8 IPS |
|
|
Image Classification (Q)
|
100% |
4688
871.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2192
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2169
35.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
6014
97.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7729
9.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
7672
8.95 IPS |
|
|
Pose Estimation (Q)
|
98% |
28887
33.8 IPS |
|
|
Object Detection (SP)
|
100% |
1784
141.5 IPS |
|
|
Object Detection (HP)
|
100% |
1785
141.6 IPS |
|
|
Object Detection (Q)
|
88% |
4806
385.3 IPS |
|
|
Face Detection (SP)
|
100% |
5255
62.4 IPS |
|
|
Face Detection (HP)
|
100% |
5212
61.9 IPS |
|
|
Face Detection (Q)
|
100% |
11627
138.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6656
51.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8068
62.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
13087
101.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19877
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
12620
16.2 IPS |
|
|
Style Transfer (Q)
|
98% |
35249
45.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2216
81.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2245
82.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7017
259.9 IPS |
|
|
Text Classification (SP)
|
100% |
1560
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
2726
3.64 KIPS |
|
|
Text Classification (Q)
|
92% |
2105
2.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3573
61.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3841
66.2 IPS |
|
|
Machine Translation (Q)
|
100% |
4468
77.0 IPS |
