Generic
Geekbench AI Score
571
Single Precision Score
230
Half Precision Score
496
Quantized Score
Geekbench AI 1.0.0 for Windows x86 (64-bit)
Result Information
| Upload Date | December 31 2024 02:52 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-3770 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Generic |
| Motherboard | ASRock Z77 Pro4 |
| Power Plan | Advanced-SystemCare-Betriebsplan |
| CPU Information | |
|---|---|
| Name | Intel Core i7-3770 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
530
98.6 IPS |
|
|
Image Classification (HP)
|
100% |
79
14.7 IPS |
|
|
Image Classification (Q)
|
96% |
534
99.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
319
5.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
98
1.59 IPS |
|
|
Image Segmentation (Q)
|
97% |
299
4.86 IPS |
|
|
Pose Estimation (SP)
|
100% |
844
0.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
694
0.81 IPS |
|
|
Pose Estimation (Q)
|
87% |
861
1.02 IPS |
|
|
Object Detection (SP)
|
100% |
336
26.6 IPS |
|
|
Object Detection (HP)
|
100% |
76
5.99 IPS |
|
|
Object Detection (Q)
|
90% |
320
25.6 IPS |
|
|
Face Detection (SP)
|
100% |
626
7.44 IPS |
|
|
Face Detection (HP)
|
100% |
117
1.39 IPS |
|
|
Face Detection (Q)
|
96% |
770
9.19 IPS |
|
|
Depth Estimation (SP)
|
100% |
1005
7.74 IPS |
|
|
Depth Estimation (HP)
|
99% |
309
2.38 IPS |
|
|
Depth Estimation (Q)
|
76% |
688
5.54 IPS |
|
|
Style Transfer (SP)
|
100% |
1775
2.28 IPS |
|
|
Style Transfer (HP)
|
100% |
1518
1.95 IPS |
|
|
Style Transfer (Q)
|
87% |
1974
2.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
403
14.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
420
15.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
422
15.7 IPS |
|
|
Text Classification (SP)
|
100% |
401
534.8 IPS |
|
|
Text Classification (HP)
|
100% |
220
294.0 IPS |
|
|
Text Classification (Q)
|
97% |
169
226.2 IPS |
|
|
Machine Translation (SP)
|
100% |
428
7.37 IPS |
|
|
Machine Translation (HP)
|
100% |
204
3.51 IPS |
|
|
Machine Translation (Q)
|
60% |
278
6.20 IPS |
