Standard NA10H
Geekbench AI Score
2717
Single Precision Score
2718
Half Precision Score
1824
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | iPhil |
| Upload Date | March 26 2025 05:40 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 8845HS |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | Standard NA10H |
| Motherboard | Standard NA10H |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8845HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 5.14 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 92.12 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1974
367.1 IPS |
|
|
Image Classification (HP)
|
100% |
1976
367.4 IPS |
|
|
Image Classification (Q)
|
99% |
1445
269.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2882
46.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2889
46.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1227
19.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3241
3.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
3199
3.73 IPS |
|
|
Pose Estimation (Q)
|
96% |
3715
4.35 IPS |
|
|
Object Detection (SP)
|
100% |
2076
164.7 IPS |
|
|
Object Detection (HP)
|
100% |
2092
166.0 IPS |
|
|
Object Detection (Q)
|
85% |
1249
100.5 IPS |
|
|
Face Detection (SP)
|
100% |
3281
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
3271
38.9 IPS |
|
|
Face Detection (Q)
|
97% |
2811
33.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3243
25.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3249
25.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
2224
20.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3706
4.76 IPS |
|
|
Style Transfer (HP)
|
100% |
3714
4.77 IPS |
|
|
Style Transfer (Q)
|
98% |
6514
8.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1993
73.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1993
73.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1776
65.8 IPS |
|
|
Text Classification (SP)
|
100% |
2221
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
2222
2.97 KIPS |
|
|
Text Classification (Q)
|
92% |
938
1.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3290
56.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3301
56.9 IPS |
|
|
Machine Translation (Q)
|
58% |
733
17.2 IPS |
