MSI MS-7735
Geekbench AI Score
1637
Single Precision Score
804
Half Precision Score
1482
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | January 28 2025 09:10 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-3930K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | MSI MS-7735 |
| Motherboard | MSI X79A-GD45 (MS-7735) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-3930K |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 45 Stepping 7 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1248
232.1 IPS |
|
|
Image Classification (HP)
|
100% |
319
59.3 IPS |
|
|
Image Classification (Q)
|
96% |
1216
227.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
713
11.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
480
7.79 IPS |
|
|
Image Segmentation (Q)
|
97% |
944
15.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2673
3.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
1961
2.29 IPS |
|
|
Pose Estimation (Q)
|
86% |
2357
2.79 IPS |
|
|
Object Detection (SP)
|
100% |
1245
98.8 IPS |
|
|
Object Detection (HP)
|
100% |
394
31.3 IPS |
|
|
Object Detection (Q)
|
58% |
853
93.2 IPS |
|
|
Face Detection (SP)
|
100% |
2171
25.8 IPS |
|
|
Face Detection (HP)
|
100% |
888
10.6 IPS |
|
|
Face Detection (Q)
|
96% |
2165
25.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3352
25.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1228
9.46 IPS |
|
|
Depth Estimation (Q)
|
78% |
2495
19.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6201
7.97 IPS |
|
|
Style Transfer (HP)
|
100% |
5079
6.53 IPS |
|
|
Style Transfer (Q)
|
87% |
4331
5.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1199
44.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1031
38.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1112
41.2 IPS |
|
|
Text Classification (SP)
|
100% |
879
1.17 KIPS |
|
|
Text Classification (HP)
|
100% |
419
559.7 IPS |
|
|
Text Classification (Q)
|
97% |
764
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
982
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
400
6.89 IPS |
|
|
Machine Translation (Q)
|
68% |
1115
21.5 IPS |
