ARCTIC HK Senza 2
Geekbench AI Score
4015
Single Precision Score
2128
Half Precision Score
9287
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | gabriel_guo |
| Upload Date | September 18 2025 04:14 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% |
3012
560.1 IPS |
|
|
Image Classification (HP)
|
100% |
871
162.1 IPS |
|
|
Image Classification (Q)
|
99% |
8546
1.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1448
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1273
20.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
10105
164.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6235
7.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
5312
6.20 IPS |
|
|
Pose Estimation (Q)
|
94% |
24575
28.8 IPS |
|
|
Object Detection (SP)
|
100% |
2955
234.4 IPS |
|
|
Object Detection (HP)
|
100% |
1121
88.9 IPS |
|
|
Object Detection (Q)
|
86% |
8182
657.6 IPS |
|
|
Face Detection (SP)
|
100% |
6413
76.2 IPS |
|
|
Face Detection (HP)
|
100% |
2111
25.1 IPS |
|
|
Face Detection (Q)
|
97% |
11131
132.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8219
63.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2746
21.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
17687
141.1 IPS |
|
|
Style Transfer (SP)
|
100% |
14642
18.8 IPS |
|
|
Style Transfer (HP)
|
100% |
13250
17.0 IPS |
|
|
Style Transfer (Q)
|
98% |
31822
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2687
99.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2632
97.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5234
193.8 IPS |
|
|
Text Classification (SP)
|
100% |
2332
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
1233
1.65 KIPS |
|
|
Text Classification (Q)
|
97% |
2137
2.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
2807
48.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1158
19.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3924
78.8 IPS |
