AZW EQ
Geekbench AI Score
1639
Single Precision Score
437
Half Precision Score
2433
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | April 22 2025 08:44 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-1220P |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | AZW EQ |
| Motherboard | AZW EQ |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-1220P |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 1.50 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1021
189.9 IPS |
|
|
Image Classification (HP)
|
100% |
96
17.9 IPS |
|
|
Image Classification (Q)
|
99% |
1789
333.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
888
14.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
153
2.48 IPS |
|
|
Image Segmentation (Q)
|
98% |
1972
32.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3057
3.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
2007
2.34 IPS |
|
|
Pose Estimation (Q)
|
95% |
9181
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
1115
88.5 IPS |
|
|
Object Detection (HP)
|
100% |
135
10.7 IPS |
|
|
Object Detection (Q)
|
88% |
1032
82.7 IPS |
|
|
Face Detection (SP)
|
100% |
1338
15.9 IPS |
|
|
Face Detection (HP)
|
100% |
181
2.15 IPS |
|
|
Face Detection (Q)
|
97% |
2115
25.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3315
25.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
563
4.34 IPS |
|
|
Depth Estimation (Q)
|
76% |
4086
32.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7449
9.58 IPS |
|
|
Style Transfer (HP)
|
100% |
4747
6.10 IPS |
|
|
Style Transfer (Q)
|
98% |
8777
11.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1410
52.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
953
35.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2182
80.8 IPS |
|
|
Text Classification (SP)
|
100% |
1000
1.33 KIPS |
|
|
Text Classification (HP)
|
100% |
379
506.1 IPS |
|
|
Text Classification (Q)
|
97% |
1202
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
972
16.7 IPS |
|
|
Machine Translation (HP)
|
100% |
368
6.34 IPS |
|
|
Machine Translation (Q)
|
60% |
1093
24.4 IPS |
