AZW SER9 + GeForce RTX-4060 (External via TB3) AZW SER9
Geekbench AI Score
12930
Single Precision Score
19185
Half Precision Score
10768
Quantized Score
Geekbench AI 1.2.0 Pro for Windows AVX2
Result Information
| User | SlippingStaff |
| Upload Date | May 14 2025 02:08 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
| 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% |
5260
978.1 IPS |
|
|
Image Classification (HP)
|
99% |
7817
1.46 KIPS |
|
|
Image Classification (Q)
|
99% |
4823
899.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
6398
103.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7513
121.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
6011
97.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
82330
96.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
204852
239.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
72620
85.1 IPS |
|
|
Object Detection (SP)
|
100% |
6144
487.4 IPS |
|
|
Object Detection (HP)
|
100% |
8597
681.9 IPS |
|
|
Object Detection (Q)
|
84% |
5576
449.7 IPS |
|
|
Face Detection (SP)
|
100% |
13682
162.6 IPS |
|
|
Face Detection (HP)
|
100% |
17887
212.5 IPS |
|
|
Face Detection (Q)
|
97% |
12564
149.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
37266
287.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
62373
480.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
31346
250.8 IPS |
|
|
Style Transfer (SP)
|
100% |
126063
162.1 IPS |
|
|
Style Transfer (HP)
|
100% |
279087
358.8 IPS |
|
|
Style Transfer (Q)
|
98% |
116286
149.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23783
878.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35454
1.31 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19071
706.2 IPS |
|
|
Text Classification (SP)
|
100% |
2589
3.46 KIPS |
|
|
Text Classification (HP)
|
99% |
2949
3.94 KIPS |
|
|
Text Classification (Q)
|
97% |
1713
2.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1939
33.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2007
34.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1194
22.4 IPS |
