Micro-Star International Co., Ltd. MS-7D99
Geekbench AI Score
1360
Single Precision Score
1421
Half Precision Score
974
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 11 2025 07:39 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 730 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D99 |
| Motherboard | Micro-Star International Co., Ltd. PRO B760M-A WIFI (MS-7D99) |
| Power Plan | Balanced |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
603
112.0 IPS |
|
|
Image Classification (HP)
|
100% |
611
113.7 IPS |
|
|
Image Classification (Q)
|
100% |
513
95.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
835
13.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
918
14.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
669
10.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3831
4.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
4447
5.19 IPS |
|
|
Pose Estimation (Q)
|
96% |
2820
3.30 IPS |
|
|
Object Detection (SP)
|
100% |
657
52.1 IPS |
|
|
Object Detection (HP)
|
98% |
579
46.1 IPS |
|
|
Object Detection (Q)
|
86% |
568
45.7 IPS |
|
|
Face Detection (SP)
|
100% |
1378
16.4 IPS |
|
|
Face Detection (HP)
|
100% |
1455
17.3 IPS |
|
|
Face Detection (Q)
|
97% |
1064
12.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2538
19.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
2769
21.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
1943
15.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8104
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
11238
14.4 IPS |
|
|
Style Transfer (Q)
|
98% |
6304
8.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1402
51.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2010
74.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
799
29.6 IPS |
|
|
Text Classification (SP)
|
100% |
718
958.5 IPS |
|
|
Text Classification (HP)
|
100% |
444
592.7 IPS |
|
|
Text Classification (Q)
|
97% |
409
547.5 IPS |
|
|
Machine Translation (SP)
|
100% |
600
10.3 IPS |
|
|
Machine Translation (HP)
|
100% |
576
9.93 IPS |
|
|
Machine Translation (Q)
|
70% |
330
6.18 IPS |
