ARCTIC HK Senza 2
Geekbench AI Score
3995
Single Precision Score
1928
Half Precision Score
7576
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | gabriel_guo |
| Upload Date | September 18 2025 03:49 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 365 |
| 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 9 365 |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2804
521.5 IPS |
|
|
Image Classification (HP)
|
100% |
602
111.9 IPS |
|
|
Image Classification (Q)
|
99% |
7641
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1354
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1227
19.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
10191
165.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7196
8.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
5902
6.89 IPS |
|
|
Pose Estimation (Q)
|
94% |
26406
31.0 IPS |
|
|
Object Detection (SP)
|
100% |
3051
242.0 IPS |
|
|
Object Detection (HP)
|
100% |
956
75.8 IPS |
|
|
Object Detection (Q)
|
86% |
8067
648.3 IPS |
|
|
Face Detection (SP)
|
100% |
6551
77.8 IPS |
|
|
Face Detection (HP)
|
100% |
1745
20.7 IPS |
|
|
Face Detection (Q)
|
97% |
8978
107.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8696
67.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2928
22.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
17239
137.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16463
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
14291
18.4 IPS |
|
|
Style Transfer (Q)
|
98% |
33022
42.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2644
97.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2389
88.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1548
57.3 IPS |
|
|
Text Classification (SP)
|
100% |
1823
2.43 KIPS |
|
|
Text Classification (HP)
|
100% |
873
1.17 KIPS |
|
|
Text Classification (Q)
|
97% |
1408
1.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
2750
47.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1123
19.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3375
67.8 IPS |
