Standard NA10H
Geekbench AI Score
4241
Single Precision Score
1822
Half Precision Score
7279
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 28 2025 08:09 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8845HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Standard NA10H |
| Motherboard | Standard NA10H |
| Power Plan | Equilibrado |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3659
680.4 IPS |
|
|
Image Classification (HP)
|
100% |
674
125.3 IPS |
|
|
Image Classification (Q)
|
99% |
8392
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1507
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
841
13.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3801
61.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7632
8.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
6303
7.35 IPS |
|
|
Pose Estimation (Q)
|
94% |
26136
30.6 IPS |
|
|
Object Detection (SP)
|
100% |
3423
271.5 IPS |
|
|
Object Detection (HP)
|
100% |
869
68.9 IPS |
|
|
Object Detection (Q)
|
86% |
8255
663.5 IPS |
|
|
Face Detection (SP)
|
100% |
6384
75.9 IPS |
|
|
Face Detection (HP)
|
100% |
1845
21.9 IPS |
|
|
Face Detection (Q)
|
97% |
10870
129.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9689
74.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2838
21.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
7386
58.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17732
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
15289
19.7 IPS |
|
|
Style Transfer (Q)
|
98% |
29313
37.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2787
102.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2516
92.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3705
137.2 IPS |
|
|
Text Classification (SP)
|
100% |
1784
2.38 KIPS |
|
|
Text Classification (HP)
|
100% |
807
1.08 KIPS |
|
|
Text Classification (Q)
|
97% |
1853
2.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2400
41.3 IPS |
|
|
Machine Translation (HP)
|
100% |
803
13.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3757
75.5 IPS |
