MSI MS-7996
Geekbench AI Score
2075
Single Precision Score
2070
Half Precision Score
2938
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | rennsport |
| Upload Date | September 23 2025 08:14 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-6400 CPU @ 2.70GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | MSI MS-7996 |
| Motherboard | MSI H110M PRO-VD (MS-7996) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-6400 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 2.71 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1224
227.6 IPS |
|
|
Image Classification (HP)
|
100% |
1223
227.4 IPS |
|
|
Image Classification (Q)
|
100% |
1902
353.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1287
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1290
20.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2159
35.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2559
2.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
2560
2.99 IPS |
|
|
Pose Estimation (Q)
|
94% |
4695
5.51 IPS |
|
|
Object Detection (SP)
|
100% |
1214
96.3 IPS |
|
|
Object Detection (HP)
|
100% |
1214
96.3 IPS |
|
|
Object Detection (Q)
|
87% |
1969
158.0 IPS |
|
|
Face Detection (SP)
|
100% |
2695
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
2696
32.0 IPS |
|
|
Face Detection (Q)
|
97% |
5081
60.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3190
24.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3204
24.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
5257
41.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7172
9.22 IPS |
|
|
Style Transfer (HP)
|
100% |
6925
8.90 IPS |
|
|
Style Transfer (Q)
|
98% |
13343
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1525
56.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1527
56.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2752
101.9 IPS |
|
|
Text Classification (SP)
|
100% |
1514
2.02 KIPS |
|
|
Text Classification (HP)
|
100% |
1511
2.02 KIPS |
|
|
Text Classification (Q)
|
91% |
605
813.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2128
36.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2142
36.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2130
36.7 IPS |
