AZW SER
Geekbench AI Score
5864
Single Precision Score
8068
Half Precision Score
4378
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | sunjw8888 |
| Upload Date | February 08 2025 01:10 PM |
| Views | 12 |
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% |
1905
354.2 IPS |
|
|
Image Classification (HP)
|
100% |
3315
616.4 IPS |
|
|
Image Classification (Q)
|
100% |
1743
324.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3113
50.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3168
51.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2514
40.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
28559
33.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
50568
59.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
22150
26.0 IPS |
|
|
Object Detection (SP)
|
100% |
2188
173.5 IPS |
|
|
Object Detection (HP)
|
100% |
2823
223.9 IPS |
|
|
Object Detection (Q)
|
87% |
2006
161.1 IPS |
|
|
Face Detection (SP)
|
100% |
4868
57.8 IPS |
|
|
Face Detection (HP)
|
100% |
8279
98.4 IPS |
|
|
Face Detection (Q)
|
97% |
4107
49.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13633
105.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
19372
149.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
10381
83.3 IPS |
|
|
Style Transfer (SP)
|
100% |
53979
69.4 IPS |
|
|
Style Transfer (HP)
|
100% |
80226
103.1 IPS |
|
|
Style Transfer (Q)
|
98% |
37301
48.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10113
373.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15822
584.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5930
219.6 IPS |
|
|
Text Classification (SP)
|
100% |
1564
2.09 KIPS |
|
|
Text Classification (HP)
|
100% |
1916
2.56 KIPS |
|
|
Text Classification (Q)
|
97% |
1142
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
2292
39.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2000
34.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1236
23.2 IPS |
