Micro-Star International Co., Ltd. MS-7D98
Geekbench AI Score
4556
Single Precision Score
1717
Half Precision Score
8472
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | TomKauw |
| Upload Date | September 26 2025 01:30 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
3462
643.9 IPS |
|
|
Image Classification (HP)
|
100% |
627
116.5 IPS |
|
|
Image Classification (Q)
|
99% |
6636
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1896
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1097
17.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
9797
159.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7468
8.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
4593
5.36 IPS |
|
|
Pose Estimation (Q)
|
94% |
25780
30.2 IPS |
|
|
Object Detection (SP)
|
100% |
3406
270.2 IPS |
|
|
Object Detection (HP)
|
100% |
805
63.8 IPS |
|
|
Object Detection (Q)
|
86% |
7002
562.8 IPS |
|
|
Face Detection (SP)
|
100% |
9809
116.5 IPS |
|
|
Face Detection (HP)
|
100% |
1827
21.7 IPS |
|
|
Face Detection (Q)
|
97% |
10972
130.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9565
73.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2365
18.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
16999
135.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17665
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
11017
14.2 IPS |
|
|
Style Transfer (Q)
|
98% |
23455
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3263
120.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2140
79.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5794
214.6 IPS |
|
|
Text Classification (SP)
|
100% |
1862
2.48 KIPS |
|
|
Text Classification (HP)
|
100% |
875
1.17 KIPS |
|
|
Text Classification (Q)
|
97% |
1790
2.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2296
39.6 IPS |
|
|
Machine Translation (HP)
|
100% |
986
17.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3579
71.9 IPS |
