AZW SER
Geekbench AI Score
16042
Single Precision Score
26233
Half Precision Score
12933
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | qqice |
| Upload Date | June 05 2025 07:24 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | AZW SER |
| Motherboard | AZW SER |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6648
1.24 KIPS |
|
|
Image Classification (HP)
|
99% |
11015
2.05 KIPS |
|
|
Image Classification (Q)
|
99% |
6087
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10734
174.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13612
220.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
9729
158.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
83749
97.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
230387
268.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
76005
89.1 IPS |
|
|
Object Detection (SP)
|
100% |
8037
637.5 IPS |
|
|
Object Detection (HP)
|
100% |
13237
1.05 KIPS |
|
|
Object Detection (Q)
|
84% |
7197
580.4 IPS |
|
|
Face Detection (SP)
|
100% |
18946
225.1 IPS |
|
|
Face Detection (HP)
|
100% |
29479
350.3 IPS |
|
|
Face Detection (Q)
|
97% |
17322
206.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
36882
284.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
76458
589.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
30945
247.6 IPS |
|
|
Style Transfer (SP)
|
100% |
134765
173.2 IPS |
|
|
Style Transfer (HP)
|
100% |
341513
439.0 IPS |
|
|
Style Transfer (Q)
|
98% |
121191
156.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26950
995.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41648
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19973
739.6 IPS |
|
|
Text Classification (SP)
|
100% |
3022
4.03 KIPS |
|
|
Text Classification (HP)
|
99% |
3390
4.52 KIPS |
|
|
Text Classification (Q)
|
97% |
1856
2.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3065
52.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3107
53.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1679
31.5 IPS |
