AZW SER
Geekbench AI Score
8236
Single Precision Score
12223
Half Precision Score
6114
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | qqice |
| Upload Date | June 05 2025 07:27 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
| 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% |
3220
598.8 IPS |
|
|
Image Classification (HP)
|
100% |
4954
921.3 IPS |
|
|
Image Classification (Q)
|
100% |
2994
556.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4078
66.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4867
78.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3292
53.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
42269
49.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
78255
91.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
30178
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
2791
221.4 IPS |
|
|
Object Detection (HP)
|
100% |
4119
326.7 IPS |
|
|
Object Detection (Q)
|
87% |
2562
205.7 IPS |
|
|
Face Detection (SP)
|
100% |
6156
73.1 IPS |
|
|
Face Detection (HP)
|
100% |
11288
134.1 IPS |
|
|
Face Detection (Q)
|
97% |
5084
60.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
17921
138.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
28701
221.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
13906
111.5 IPS |
|
|
Style Transfer (SP)
|
100% |
72938
93.8 IPS |
|
|
Style Transfer (HP)
|
100% |
117427
151.0 IPS |
|
|
Style Transfer (Q)
|
98% |
48403
62.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14563
537.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23580
870.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9283
343.8 IPS |
|
|
Text Classification (SP)
|
100% |
2400
3.20 KIPS |
|
|
Text Classification (HP)
|
100% |
3012
4.02 KIPS |
|
|
Text Classification (Q)
|
97% |
1718
2.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3299
56.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3545
61.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1757
32.9 IPS |
