Generic
Geekbench AI Score
1863
Single Precision Score
899
Half Precision Score
1575
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | ViNsTeR777 |
| Upload Date | February 26 2025 04:14 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-3930K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise (64-bit) |
| Model | Generic |
| Motherboard | ASRock X79 Extreme11 |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-3930K |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 45 Stepping 7 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
892
165.8 IPS |
|
|
Image Classification (HP)
|
100% |
352
65.5 IPS |
|
|
Image Classification (Q)
|
96% |
1298
242.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
912
14.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
546
8.86 IPS |
|
|
Image Segmentation (Q)
|
97% |
970
15.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2953
3.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
2155
2.51 IPS |
|
|
Pose Estimation (Q)
|
86% |
2734
3.23 IPS |
|
|
Object Detection (SP)
|
100% |
1439
114.1 IPS |
|
|
Object Detection (HP)
|
100% |
435
34.5 IPS |
|
|
Object Detection (Q)
|
58% |
917
100.2 IPS |
|
|
Face Detection (SP)
|
100% |
3462
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
1104
13.1 IPS |
|
|
Face Detection (Q)
|
96% |
2893
34.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3746
28.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1345
10.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
2922
23.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7052
9.07 IPS |
|
|
Style Transfer (HP)
|
100% |
5585
7.18 IPS |
|
|
Style Transfer (Q)
|
87% |
5689
7.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1399
51.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1146
42.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1253
46.4 IPS |
|
|
Text Classification (SP)
|
100% |
946
1.26 KIPS |
|
|
Text Classification (HP)
|
100% |
452
603.9 IPS |
|
|
Text Classification (Q)
|
97% |
403
539.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1209
20.8 IPS |
|
|
Machine Translation (HP)
|
100% |
449
7.73 IPS |
|
|
Machine Translation (Q)
|
68% |
1228
23.7 IPS |
