Default string Default string
Geekbench AI Score
94
Single Precision Score
67
Half Precision Score
163
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | herman_han |
| Upload Date | December 11 2024 02:46 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-12700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | Default string Default string |
| Motherboard | Default string Default string |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700 |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.11 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
52
9.66 IPS |
|
|
Image Classification (HP)
|
100% |
20
3.69 IPS |
|
|
Image Classification (Q)
|
99% |
77
14.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
67
1.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
32
0.52 IPS |
|
|
Image Segmentation (Q)
|
98% |
86
1.40 IPS |
|
|
Pose Estimation (SP)
|
100% |
190
0.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
2410
2.81 IPS |
|
|
Pose Estimation (Q)
|
94% |
313
0.37 IPS |
|
|
Object Detection (SP)
|
100% |
47
3.75 IPS |
|
|
Object Detection (HP)
|
100% |
20
1.62 IPS |
|
|
Object Detection (Q)
|
86% |
76
6.08 IPS |
|
|
Face Detection (SP)
|
100% |
152
1.80 IPS |
|
|
Face Detection (HP)
|
100% |
60
0.71 IPS |
|
|
Face Detection (Q)
|
97% |
191
2.28 IPS |
|
|
Depth Estimation (SP)
|
100% |
123
0.95 IPS |
|
|
Depth Estimation (HP)
|
99% |
73
0.56 IPS |
|
|
Depth Estimation (Q)
|
78% |
200
1.59 IPS |
|
|
Style Transfer (SP)
|
100% |
415
0.53 IPS |
|
|
Style Transfer (HP)
|
100% |
356
0.46 IPS |
|
|
Style Transfer (Q)
|
98% |
618
0.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
64
2.38 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49
1.82 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
99
3.67 IPS |
|
|
Text Classification (SP)
|
100% |
47
62.8 IPS |
|
|
Text Classification (HP)
|
100% |
23
30.2 IPS |
|
|
Text Classification (Q)
|
97% |
31
41.1 IPS |
|
|
Machine Translation (SP)
|
100% |
81
1.40 IPS |
|
|
Machine Translation (HP)
|
100% |
35
0.59 IPS |
|
|
Machine Translation (Q)
|
65% |
1199
24.1 IPS |
