MSI MS-7996
Geekbench AI Score
460
Single Precision Score
267
Half Precision Score
386
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | rennsport |
| Upload Date | September 23 2025 08:03 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) HD Graphics 530 |
| 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% |
246
45.7 IPS |
|
|
Image Classification (HP)
|
100% |
132
24.6 IPS |
|
|
Image Classification (Q)
|
100% |
227
42.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
358
5.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
182
2.96 IPS |
|
|
Image Segmentation (Q)
|
98% |
300
4.88 IPS |
|
|
Pose Estimation (SP)
|
100% |
803
0.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
462
0.54 IPS |
|
|
Pose Estimation (Q)
|
97% |
763
0.89 IPS |
|
|
Object Detection (SP)
|
100% |
270
21.4 IPS |
|
|
Object Detection (HP)
|
100% |
147
11.7 IPS |
|
|
Object Detection (Q)
|
86% |
244
19.6 IPS |
|
|
Face Detection (SP)
|
100% |
595
7.07 IPS |
|
|
Face Detection (HP)
|
100% |
314
3.73 IPS |
|
|
Face Detection (Q)
|
97% |
505
6.02 IPS |
|
|
Depth Estimation (SP)
|
100% |
823
6.34 IPS |
|
|
Depth Estimation (HP)
|
99% |
478
3.69 IPS |
|
|
Depth Estimation (Q)
|
77% |
720
5.76 IPS |
|
|
Style Transfer (SP)
|
100% |
1608
2.07 IPS |
|
|
Style Transfer (HP)
|
100% |
1225
1.57 IPS |
|
|
Style Transfer (Q)
|
98% |
1499
1.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
455
16.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
264
9.76 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
385
14.3 IPS |
|
|
Text Classification (SP)
|
100% |
198
264.6 IPS |
|
|
Text Classification (HP)
|
100% |
118
157.5 IPS |
|
|
Text Classification (Q)
|
97% |
152
204.1 IPS |
|
|
Machine Translation (SP)
|
100% |
315
5.43 IPS |
|
|
Machine Translation (HP)
|
96% |
203
3.51 IPS |
|
|
Machine Translation (Q)
|
70% |
185
3.47 IPS |
