AZW SER9 + GeForce RTX-4060 (External via TB3) AZW SER9
Geekbench AI Score
5387
Single Precision Score
5471
Half Precision Score
13313
Quantized Score
Geekbench AI 1.2.0 Pro for Windows AVX2
Result Information
| User | SlippingStaff |
| Upload Date | May 14 2025 02:05 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | AZW SER9 |
| Motherboard | AZW SER9 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2881
535.8 IPS |
|
|
Image Classification (HP)
|
100% |
2982
554.5 IPS |
|
|
Image Classification (Q)
|
100% |
7640
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3812
61.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3829
62.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10171
164.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8286
9.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
8295
9.68 IPS |
|
|
Pose Estimation (Q)
|
98% |
32217
37.7 IPS |
|
|
Object Detection (SP)
|
100% |
2988
237.0 IPS |
|
|
Object Detection (HP)
|
100% |
3182
252.4 IPS |
|
|
Object Detection (Q)
|
88% |
8445
676.9 IPS |
|
|
Face Detection (SP)
|
100% |
8342
99.1 IPS |
|
|
Face Detection (HP)
|
100% |
8576
101.9 IPS |
|
|
Face Detection (Q)
|
100% |
20315
241.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9010
69.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8922
68.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
22354
173.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22264
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
22154
28.5 IPS |
|
|
Style Transfer (Q)
|
98% |
82144
105.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4366
161.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4491
165.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14537
538.4 IPS |
|
|
Text Classification (SP)
|
100% |
2649
3.54 KIPS |
|
|
Text Classification (HP)
|
100% |
2670
3.56 KIPS |
|
|
Text Classification (Q)
|
92% |
3413
4.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3915
67.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3924
67.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4472
77.0 IPS |
