ARCTIC HK Senza 2
Geekbench AI Score
3400
Single Precision Score
1815
Half Precision Score
8212
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | gabriel_guo |
| Upload Date | September 18 2025 02:57 AM |
| Views | 11 |
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% |
3029
563.3 IPS |
|
|
Image Classification (HP)
|
100% |
891
165.7 IPS |
|
|
Image Classification (Q)
|
99% |
7943
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1193
19.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1281
20.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
9993
162.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6205
7.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
5254
6.13 IPS |
|
|
Pose Estimation (Q)
|
94% |
24149
28.3 IPS |
|
|
Object Detection (SP)
|
100% |
3058
242.6 IPS |
|
|
Object Detection (HP)
|
100% |
1078
85.5 IPS |
|
|
Object Detection (Q)
|
86% |
8127
653.2 IPS |
|
|
Face Detection (SP)
|
100% |
6100
72.5 IPS |
|
|
Face Detection (HP)
|
100% |
2149
25.5 IPS |
|
|
Face Detection (Q)
|
97% |
11133
132.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7485
57.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1962
15.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
11954
95.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8347
10.7 IPS |
|
|
Style Transfer (HP)
|
100% |
8473
10.9 IPS |
|
|
Style Transfer (Q)
|
98% |
24823
32.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1860
68.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2008
74.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5005
185.3 IPS |
|
|
Text Classification (SP)
|
100% |
1970
2.63 KIPS |
|
|
Text Classification (HP)
|
100% |
928
1.24 KIPS |
|
|
Text Classification (Q)
|
97% |
1746
2.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2158
37.2 IPS |
|
|
Machine Translation (HP)
|
100% |
902
15.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3103
62.4 IPS |
