MSI MS-7972
Geekbench AI Score
1767
Single Precision Score
881
Half Precision Score
2039
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | matttripmaker |
| Upload Date | January 25 2025 12:51 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-6600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | MSI MS-7972 |
| Motherboard | MSI Z170M MORTAR (MS-7972) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-6600 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 3.31 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1323
246.1 IPS |
|
|
Image Classification (HP)
|
100% |
359
66.8 IPS |
|
|
Image Classification (Q)
|
96% |
1852
345.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
703
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
488
7.91 IPS |
|
|
Image Segmentation (Q)
|
97% |
1068
17.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2851
3.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
2292
2.67 IPS |
|
|
Pose Estimation (Q)
|
86% |
4762
5.63 IPS |
|
|
Object Detection (SP)
|
100% |
1272
100.9 IPS |
|
|
Object Detection (HP)
|
100% |
432
34.3 IPS |
|
|
Object Detection (Q)
|
58% |
1244
136.0 IPS |
|
|
Face Detection (SP)
|
100% |
2287
27.2 IPS |
|
|
Face Detection (HP)
|
100% |
907
10.8 IPS |
|
|
Face Detection (Q)
|
96% |
3599
42.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3528
27.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1295
9.98 IPS |
|
|
Depth Estimation (Q)
|
78% |
4712
37.6 IPS |
|
|
Style Transfer (SP)
|
100% |
6735
8.66 IPS |
|
|
Style Transfer (HP)
|
100% |
5216
6.71 IPS |
|
|
Style Transfer (Q)
|
87% |
8249
10.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1277
47.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1096
40.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1659
61.5 IPS |
|
|
Text Classification (SP)
|
100% |
1017
1.36 KIPS |
|
|
Text Classification (HP)
|
100% |
528
705.1 IPS |
|
|
Text Classification (Q)
|
97% |
355
475.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1248
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
463
7.97 IPS |
|
|
Machine Translation (Q)
|
68% |
1293
25.0 IPS |
