ARCTIC HK Senza 2
Geekbench AI Score
3961
Single Precision Score
2116
Half Precision Score
9016
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | gabriel_guo |
| Upload Date | September 18 2025 03:06 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 7 350 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ARCTIC HK Senza 2 |
| Motherboard | SU AKB50 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 7 350 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 96 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3077
572.3 IPS |
|
|
Image Classification (HP)
|
100% |
882
164.1 IPS |
|
|
Image Classification (Q)
|
99% |
8045
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1484
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1308
21.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
9953
161.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6245
7.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
5270
6.15 IPS |
|
|
Pose Estimation (Q)
|
94% |
23819
27.9 IPS |
|
|
Object Detection (SP)
|
100% |
2972
235.8 IPS |
|
|
Object Detection (HP)
|
100% |
1096
86.9 IPS |
|
|
Object Detection (Q)
|
86% |
7988
642.0 IPS |
|
|
Face Detection (SP)
|
100% |
6061
72.0 IPS |
|
|
Face Detection (HP)
|
100% |
1906
22.6 IPS |
|
|
Face Detection (Q)
|
97% |
11155
133.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8029
61.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3116
24.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
17795
142.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14746
19.0 IPS |
|
|
Style Transfer (HP)
|
100% |
13078
16.8 IPS |
|
|
Style Transfer (Q)
|
98% |
31272
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2647
97.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2579
95.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4951
183.3 IPS |
|
|
Text Classification (SP)
|
100% |
2313
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
1215
1.62 KIPS |
|
|
Text Classification (Q)
|
97% |
2154
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
2558
44.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1114
19.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3520
70.7 IPS |
