Micro-Star International Co., Ltd. MS-7D98
Geekbench AI Score
4986
Single Precision Score
5333
Half Precision Score
11908
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | TomKauw |
| Upload Date | September 26 2025 01:40 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-14600KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D98 |
| Motherboard | Micro-Star International Co., Ltd. B760 GAMING PLUS WIFI (MS-7D98) |
| Power Plan | Gebalanceerd |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600KF |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3414
634.8 IPS |
|
|
Image Classification (HP)
|
100% |
3438
639.3 IPS |
|
|
Image Classification (Q)
|
100% |
7960
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4397
71.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4326
70.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
8239
133.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6595
7.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
6610
7.71 IPS |
|
|
Pose Estimation (Q)
|
96% |
24312
28.5 IPS |
|
|
Object Detection (SP)
|
100% |
3135
248.7 IPS |
|
|
Object Detection (HP)
|
100% |
3209
254.5 IPS |
|
|
Object Detection (Q)
|
88% |
8272
663.1 IPS |
|
|
Face Detection (SP)
|
100% |
5646
67.1 IPS |
|
|
Face Detection (HP)
|
100% |
6322
75.1 IPS |
|
|
Face Detection (Q)
|
100% |
18643
221.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8128
62.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
8143
62.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
20393
158.6 IPS |
|
|
Style Transfer (SP)
|
100% |
11347
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
18982
24.4 IPS |
|
|
Style Transfer (Q)
|
98% |
36907
47.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3843
141.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3993
147.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12876
476.8 IPS |
|
|
Text Classification (SP)
|
100% |
3242
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
3183
4.25 KIPS |
|
|
Text Classification (Q)
|
92% |
5197
6.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
4716
81.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4750
81.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4631
79.8 IPS |
