AZW SER9 + GeForce RTX-4060 (External via TB3) AZW SER9
Geekbench AI Score
5394
Single Precision Score
5446
Half Precision Score
13472
Quantized Score
Geekbench AI 1.2.0 Pro for Windows AVX2
Result Information
| User | SlippingStaff |
| Upload Date | May 14 2025 02:00 PM |
| Views | 6 |
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% |
3083
573.3 IPS |
|
|
Image Classification (HP)
|
100% |
3111
578.6 IPS |
|
|
Image Classification (Q)
|
100% |
7919
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3731
60.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3923
63.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10042
162.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8304
9.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
8274
9.65 IPS |
|
|
Pose Estimation (Q)
|
98% |
32317
37.8 IPS |
|
|
Object Detection (SP)
|
100% |
2991
237.2 IPS |
|
|
Object Detection (HP)
|
100% |
2973
235.8 IPS |
|
|
Object Detection (Q)
|
88% |
8288
664.4 IPS |
|
|
Face Detection (SP)
|
100% |
8144
96.8 IPS |
|
|
Face Detection (HP)
|
100% |
7955
94.5 IPS |
|
|
Face Detection (Q)
|
100% |
22713
269.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8138
62.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
9026
69.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
23184
180.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22238
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
22201
28.5 IPS |
|
|
Style Transfer (Q)
|
98% |
81577
105.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4374
161.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4430
163.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14237
527.3 IPS |
|
|
Text Classification (SP)
|
100% |
2610
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
2617
3.49 KIPS |
|
|
Text Classification (Q)
|
92% |
3422
4.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
4340
74.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4138
71.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4420
76.1 IPS |
