AZW SER
Geekbench AI Score
5760
Single Precision Score
7969
Half Precision Score
4104
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | sunjw8888 |
| Upload Date | August 16 2024 12:12 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | AZW SER |
| Motherboard | AZW SER |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7735HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1780
331.0 IPS |
|
|
Image Classification (HP)
|
100% |
2988
555.7 IPS |
|
|
Image Classification (Q)
|
100% |
1533
285.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3114
50.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3173
51.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2511
40.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
29225
34.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
50723
59.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
22238
26.1 IPS |
|
|
Object Detection (SP)
|
100% |
2047
162.3 IPS |
|
|
Object Detection (HP)
|
100% |
2704
214.5 IPS |
|
|
Object Detection (Q)
|
89% |
1770
141.7 IPS |
|
|
Face Detection (SP)
|
100% |
4366
51.9 IPS |
|
|
Face Detection (HP)
|
100% |
7288
86.6 IPS |
|
|
Face Detection (Q)
|
97% |
3344
39.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13290
102.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
18454
142.2 IPS |
|
|
Depth Estimation (Q)
|
73% |
9337
76.2 IPS |
|
|
Style Transfer (SP)
|
100% |
53738
69.1 IPS |
|
|
Style Transfer (HP)
|
100% |
79514
102.2 IPS |
|
|
Style Transfer (Q)
|
98% |
37251
48.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10257
378.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15466
571.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6025
223.1 IPS |
|
|
Text Classification (SP)
|
100% |
1632
2.18 KIPS |
|
|
Text Classification (HP)
|
100% |
1951
2.60 KIPS |
|
|
Text Classification (Q)
|
97% |
1173
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2326
40.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2462
42.4 IPS |
|
|
Machine Translation (Q)
|
60% |
1089
24.3 IPS |
