ARCTIC HK Senza 2
Geekbench AI Score
3814
Single Precision Score
1919
Half Precision Score
7821
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | gabriel_guo |
| Upload Date | September 18 2025 03:58 AM |
| Views | 8 |
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% |
2681
498.6 IPS |
|
|
Image Classification (HP)
|
100% |
756
140.6 IPS |
|
|
Image Classification (Q)
|
99% |
7717
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1205
19.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
939
15.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
9734
158.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5754
6.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
5861
6.84 IPS |
|
|
Pose Estimation (Q)
|
94% |
26451
31.0 IPS |
|
|
Object Detection (SP)
|
100% |
3152
250.1 IPS |
|
|
Object Detection (HP)
|
100% |
982
77.9 IPS |
|
|
Object Detection (Q)
|
86% |
8054
647.3 IPS |
|
|
Face Detection (SP)
|
100% |
6586
78.3 IPS |
|
|
Face Detection (HP)
|
100% |
1909
22.7 IPS |
|
|
Face Detection (Q)
|
97% |
11302
134.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9037
69.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3058
23.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
17033
135.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16788
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
14552
18.7 IPS |
|
|
Style Transfer (Q)
|
98% |
33104
42.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2654
98.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2435
89.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1645
60.9 IPS |
|
|
Text Classification (SP)
|
100% |
1576
2.10 KIPS |
|
|
Text Classification (HP)
|
100% |
715
955.0 IPS |
|
|
Text Classification (Q)
|
97% |
1463
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
2665
45.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1126
19.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3492
70.2 IPS |
