Standard NA10H
Geekbench AI Score
3348
Single Precision Score
1599
Half Precision Score
6295
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 10 2025 12:42 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8845HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Standard NA10H |
| Motherboard | Standard NA10H |
| Power Plan | Gebalanceerd |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8845HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3201
595.2 IPS |
|
|
Image Classification (HP)
|
100% |
612
113.7 IPS |
|
|
Image Classification (Q)
|
99% |
7594
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
677
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
762
12.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3420
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7219
8.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
5252
6.13 IPS |
|
|
Pose Estimation (Q)
|
94% |
24248
28.4 IPS |
|
|
Object Detection (SP)
|
100% |
2711
215.0 IPS |
|
|
Object Detection (HP)
|
100% |
779
61.8 IPS |
|
|
Object Detection (Q)
|
86% |
6748
542.3 IPS |
|
|
Face Detection (SP)
|
100% |
3631
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
1566
18.6 IPS |
|
|
Face Detection (Q)
|
97% |
9131
108.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8487
65.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2554
19.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
7510
59.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16226
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
13890
17.9 IPS |
|
|
Style Transfer (Q)
|
98% |
17566
22.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2719
100.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2414
89.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3378
125.1 IPS |
|
|
Text Classification (SP)
|
100% |
1831
2.44 KIPS |
|
|
Text Classification (HP)
|
100% |
828
1.11 KIPS |
|
|
Text Classification (Q)
|
97% |
1950
2.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
1677
28.9 IPS |
|
|
Machine Translation (HP)
|
100% |
516
8.89 IPS |
|
|
Machine Translation (Q)
|
65% |
2902
58.3 IPS |
