Micro-Star International Co., Ltd. MS-7D90
Geekbench AI Score
3117
Single Precision Score
1330
Half Precision Score
5636
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 19 2025 11:01 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-14400F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D90 |
| Motherboard | Micro-Star International Co., Ltd. B760M BOMBER WIFI (MS-7D90) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14400F |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2324
432.1 IPS |
|
|
Image Classification (HP)
|
100% |
502
93.4 IPS |
|
|
Image Classification (Q)
|
99% |
4731
882.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1429
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
871
14.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2685
43.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4843
5.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
3463
4.04 IPS |
|
|
Pose Estimation (Q)
|
94% |
16877
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
2234
177.2 IPS |
|
|
Object Detection (HP)
|
100% |
611
48.5 IPS |
|
|
Object Detection (Q)
|
86% |
5102
410.1 IPS |
|
|
Face Detection (SP)
|
100% |
5924
70.4 IPS |
|
|
Face Detection (HP)
|
100% |
1576
18.7 IPS |
|
|
Face Detection (Q)
|
97% |
7655
91.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6296
48.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1915
14.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
12031
96.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11664
15.0 IPS |
|
|
Style Transfer (HP)
|
100% |
8447
10.9 IPS |
|
|
Style Transfer (Q)
|
98% |
20686
26.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2277
84.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1642
60.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3653
135.3 IPS |
|
|
Text Classification (SP)
|
100% |
1389
1.85 KIPS |
|
|
Text Classification (HP)
|
100% |
672
897.3 IPS |
|
|
Text Classification (Q)
|
97% |
1558
2.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
1752
30.2 IPS |
|
|
Machine Translation (HP)
|
100% |
667
11.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2730
54.9 IPS |
