Standard NA10H
Geekbench AI Score
2712
Single Precision Score
2716
Half Precision Score
1830
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | iPhil |
| Upload Date | March 26 2025 03:57 PM |
| Views | 3 |
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% |
1976
367.4 IPS |
|
|
Image Classification (HP)
|
100% |
1973
367.0 IPS |
|
|
Image Classification (Q)
|
99% |
1454
271.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2877
46.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2885
46.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1236
20.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3205
3.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
3206
3.74 IPS |
|
|
Pose Estimation (Q)
|
96% |
3718
4.36 IPS |
|
|
Object Detection (SP)
|
100% |
2076
164.6 IPS |
|
|
Object Detection (HP)
|
100% |
2063
163.7 IPS |
|
|
Object Detection (Q)
|
85% |
1249
100.5 IPS |
|
|
Face Detection (SP)
|
100% |
3258
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
3309
39.3 IPS |
|
|
Face Detection (Q)
|
97% |
2844
33.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3254
25.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3254
25.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
2245
21.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3719
4.78 IPS |
|
|
Style Transfer (HP)
|
100% |
3693
4.75 IPS |
|
|
Style Transfer (Q)
|
98% |
6525
8.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1998
73.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2006
74.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1778
65.9 IPS |
|
|
Text Classification (SP)
|
100% |
2228
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
2222
2.97 KIPS |
|
|
Text Classification (Q)
|
92% |
931
1.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3251
56.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3284
56.6 IPS |
|
|
Machine Translation (Q)
|
58% |
734
17.2 IPS |
