Default string Default string
Geekbench AI Score
2463
Single Precision Score
1144
Half Precision Score
5416
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 07 2026 01:21 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 8945HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | Default string Default string |
| Motherboard | Default string Default string |
| Power Plan | Energiesparmodus |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 8945HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1849
343.8 IPS |
|
|
Image Classification (HP)
|
100% |
435
80.8 IPS |
|
|
Image Classification (Q)
|
99% |
5309
990.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1175
19.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
578
9.37 IPS |
|
|
Image Segmentation (Q)
|
98% |
6564
106.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3529
4.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
3140
3.66 IPS |
|
|
Pose Estimation (Q)
|
94% |
14171
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
1751
138.9 IPS |
|
|
Object Detection (HP)
|
100% |
509
40.4 IPS |
|
|
Object Detection (Q)
|
86% |
5025
403.8 IPS |
|
|
Face Detection (SP)
|
100% |
4258
50.6 IPS |
|
|
Face Detection (HP)
|
100% |
1225
14.6 IPS |
|
|
Face Detection (Q)
|
97% |
7417
88.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4832
37.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1670
12.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
5414
43.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8774
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8111
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
19860
25.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1518
56.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1482
54.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3804
140.9 IPS |
|
|
Text Classification (SP)
|
100% |
1309
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
576
769.5 IPS |
|
|
Text Classification (Q)
|
97% |
1170
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1708
29.4 IPS |
|
|
Machine Translation (HP)
|
100% |
677
11.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2469
49.6 IPS |
