AZW SER9 + GeForce RTX-4060 (External via TB3) AZW SER9
Geekbench AI Score
5426
Single Precision Score
5427
Half Precision Score
13278
Quantized Score
Geekbench AI 1.2.0 Pro for Windows AVX2
Result Information
| User | SlippingStaff |
| Upload Date | May 14 2025 02:03 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% |
2942
547.1 IPS |
|
|
Image Classification (HP)
|
100% |
2910
541.2 IPS |
|
|
Image Classification (Q)
|
100% |
7822
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3874
62.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3856
62.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10138
164.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8315
9.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
8318
9.71 IPS |
|
|
Pose Estimation (Q)
|
98% |
32215
37.7 IPS |
|
|
Object Detection (SP)
|
100% |
3005
238.4 IPS |
|
|
Object Detection (HP)
|
100% |
2966
235.3 IPS |
|
|
Object Detection (Q)
|
88% |
8519
682.9 IPS |
|
|
Face Detection (SP)
|
100% |
8668
103.0 IPS |
|
|
Face Detection (HP)
|
100% |
8779
104.3 IPS |
|
|
Face Detection (Q)
|
100% |
20178
239.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8991
69.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8878
68.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
22142
172.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21991
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
22114
28.4 IPS |
|
|
Style Transfer (Q)
|
98% |
81819
105.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4467
164.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4443
164.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14639
542.1 IPS |
|
|
Text Classification (SP)
|
100% |
2695
3.60 KIPS |
|
|
Text Classification (HP)
|
100% |
2679
3.58 KIPS |
|
|
Text Classification (Q)
|
92% |
3348
4.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3765
64.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3903
67.2 IPS |
|
|
Machine Translation (Q)
|
100% |
4370
75.3 IPS |
