AZW SER9 + GeForce RTX-4060 (External via TB3) AZW SER9
Geekbench AI Score
12939
Single Precision Score
19091
Half Precision Score
10786
Quantized Score
Geekbench AI 1.2.0 Pro for Windows AVX2
Result Information
| User | SlippingStaff |
| Upload Date | May 14 2025 02:15 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% |
5325
990.3 IPS |
|
|
Image Classification (HP)
|
99% |
7780
1.45 KIPS |
|
|
Image Classification (Q)
|
99% |
4836
902.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
6348
102.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7584
122.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
6185
100.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
82611
96.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
203944
238.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
71580
83.9 IPS |
|
|
Object Detection (SP)
|
100% |
6179
490.2 IPS |
|
|
Object Detection (HP)
|
100% |
8563
679.2 IPS |
|
|
Object Detection (Q)
|
84% |
5594
451.2 IPS |
|
|
Face Detection (SP)
|
100% |
13675
162.5 IPS |
|
|
Face Detection (HP)
|
100% |
17896
212.6 IPS |
|
|
Face Detection (Q)
|
97% |
12482
148.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
37236
286.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
61414
473.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
31368
250.9 IPS |
|
|
Style Transfer (SP)
|
100% |
126475
162.6 IPS |
|
|
Style Transfer (HP)
|
100% |
273907
352.1 IPS |
|
|
Style Transfer (Q)
|
98% |
115868
149.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23808
879.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35056
1.29 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19042
705.1 IPS |
|
|
Text Classification (SP)
|
100% |
2578
3.44 KIPS |
|
|
Text Classification (HP)
|
99% |
2955
3.94 KIPS |
|
|
Text Classification (Q)
|
97% |
1719
2.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1929
33.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2002
34.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1199
22.5 IPS |
