Micro-Star International Co., Ltd. MS-7D90
Geekbench AI Score
4107
Single Precision Score
4314
Half Precision Score
10004
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 16 2025 03:42 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-14400 |
| 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 (MS-7D90) |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14400 |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2735
508.7 IPS |
|
|
Image Classification (HP)
|
100% |
2740
509.6 IPS |
|
|
Image Classification (Q)
|
100% |
6171
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1922
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3307
53.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
5989
97.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5227
6.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
5185
6.05 IPS |
|
|
Pose Estimation (Q)
|
96% |
19347
22.7 IPS |
|
|
Object Detection (SP)
|
100% |
2637
209.2 IPS |
|
|
Object Detection (HP)
|
100% |
2575
204.3 IPS |
|
|
Object Detection (Q)
|
88% |
6641
532.4 IPS |
|
|
Face Detection (SP)
|
100% |
5580
66.3 IPS |
|
|
Face Detection (HP)
|
100% |
5564
66.1 IPS |
|
|
Face Detection (Q)
|
100% |
14969
177.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6746
52.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
6704
51.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
16599
129.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15478
19.9 IPS |
|
|
Style Transfer (HP)
|
100% |
15498
19.9 IPS |
|
|
Style Transfer (Q)
|
98% |
53325
68.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3261
120.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3256
120.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10527
389.9 IPS |
|
|
Text Classification (SP)
|
100% |
2568
3.43 KIPS |
|
|
Text Classification (HP)
|
100% |
2556
3.41 KIPS |
|
|
Text Classification (Q)
|
92% |
4072
5.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3863
66.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3841
66.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3726
64.2 IPS |
