ARCTIC HK Senza 2
Geekbench AI Score
3541
Single Precision Score
1651
Half Precision Score
7160
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | gabriel_guo |
| Upload Date | September 18 2025 03:52 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% |
2644
491.6 IPS |
|
|
Image Classification (HP)
|
100% |
628
116.8 IPS |
|
|
Image Classification (Q)
|
99% |
5760
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1202
19.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
871
14.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
8067
131.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6952
8.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
5775
6.74 IPS |
|
|
Pose Estimation (Q)
|
94% |
24065
28.2 IPS |
|
|
Object Detection (SP)
|
100% |
3108
246.5 IPS |
|
|
Object Detection (HP)
|
100% |
861
68.3 IPS |
|
|
Object Detection (Q)
|
86% |
7919
636.4 IPS |
|
|
Face Detection (SP)
|
100% |
6531
77.6 IPS |
|
|
Face Detection (HP)
|
100% |
2003
23.8 IPS |
|
|
Face Detection (Q)
|
97% |
11008
131.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8535
65.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3046
23.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
16886
134.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16575
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
14425
18.5 IPS |
|
|
Style Transfer (Q)
|
98% |
33194
42.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2578
95.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1538
56.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2764
102.3 IPS |
|
|
Text Classification (SP)
|
100% |
1201
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
602
804.0 IPS |
|
|
Text Classification (Q)
|
97% |
1117
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1578
27.2 IPS |
|
|
Machine Translation (HP)
|
100% |
679
11.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2100
42.2 IPS |
