AZW SER9 + GeForce RTX-4060 (External via TB3) AZW SER9
Geekbench AI Score
12920
Single Precision Score
18953
Half Precision Score
10747
Quantized Score
Geekbench AI 1.2.0 Pro for Windows AVX2
Result Information
| User | SlippingStaff |
| Upload Date | May 14 2025 02:12 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% |
5242
974.8 IPS |
|
|
Image Classification (HP)
|
99% |
7751
1.45 KIPS |
|
|
Image Classification (Q)
|
99% |
4923
918.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
6374
103.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7471
121.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
6021
97.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
81725
95.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
203830
237.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
72607
85.1 IPS |
|
|
Object Detection (SP)
|
100% |
6120
485.4 IPS |
|
|
Object Detection (HP)
|
100% |
8476
672.3 IPS |
|
|
Object Detection (Q)
|
84% |
5497
443.4 IPS |
|
|
Face Detection (SP)
|
100% |
13496
160.4 IPS |
|
|
Face Detection (HP)
|
100% |
18036
214.3 IPS |
|
|
Face Detection (Q)
|
97% |
12575
149.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
37417
288.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
63640
490.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
31580
252.6 IPS |
|
|
Style Transfer (SP)
|
100% |
129114
166.0 IPS |
|
|
Style Transfer (HP)
|
100% |
276357
355.3 IPS |
|
|
Style Transfer (Q)
|
98% |
116346
150.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23769
877.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32318
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18436
682.7 IPS |
|
|
Text Classification (SP)
|
100% |
2588
3.45 KIPS |
|
|
Text Classification (HP)
|
99% |
2920
3.90 KIPS |
|
|
Text Classification (Q)
|
97% |
1700
2.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1935
33.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1998
34.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1200
22.5 IPS |
