Default string Default string
Geekbench AI Score
2825
Single Precision Score
1362
Half Precision Score
5987
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 23 2025 12:32 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
2012
374.2 IPS |
|
|
Image Classification (HP)
|
100% |
483
89.9 IPS |
|
|
Image Classification (Q)
|
99% |
6642
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1123
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
783
12.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2762
44.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5389
6.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
4549
5.31 IPS |
|
|
Pose Estimation (Q)
|
94% |
22857
26.8 IPS |
|
|
Object Detection (SP)
|
100% |
2086
165.5 IPS |
|
|
Object Detection (HP)
|
100% |
579
45.9 IPS |
|
|
Object Detection (Q)
|
86% |
5121
411.5 IPS |
|
|
Face Detection (SP)
|
100% |
4626
55.0 IPS |
|
|
Face Detection (HP)
|
100% |
1346
16.0 IPS |
|
|
Face Detection (Q)
|
97% |
8418
100.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6752
52.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2113
16.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
15815
126.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12450
16.0 IPS |
|
|
Style Transfer (HP)
|
100% |
11860
15.2 IPS |
|
|
Style Transfer (Q)
|
98% |
24222
31.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1943
71.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1735
64.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2755
102.0 IPS |
|
|
Text Classification (SP)
|
100% |
873
1.17 KIPS |
|
|
Text Classification (HP)
|
100% |
592
790.1 IPS |
|
|
Text Classification (Q)
|
97% |
1106
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1934
33.3 IPS |
|
|
Machine Translation (HP)
|
100% |
641
11.0 IPS |
|
|
Machine Translation (Q)
|
65% |
2807
56.4 IPS |
