Micro-Star International Co., Ltd. MS-7D99
Geekbench AI Score
1771
Single Precision Score
1814
Half Precision Score
1183
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 04 2025 10:17 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 770 |
| 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 i7-14700 |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
776
144.3 IPS |
|
|
Image Classification (HP)
|
100% |
777
144.4 IPS |
|
|
Image Classification (Q)
|
100% |
649
120.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1065
17.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1203
19.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
812
13.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5451
6.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
5967
6.96 IPS |
|
|
Pose Estimation (Q)
|
96% |
3634
4.26 IPS |
|
|
Object Detection (SP)
|
100% |
859
68.1 IPS |
|
|
Object Detection (HP)
|
98% |
722
57.5 IPS |
|
|
Object Detection (Q)
|
86% |
718
57.7 IPS |
|
|
Face Detection (SP)
|
100% |
1735
20.6 IPS |
|
|
Face Detection (HP)
|
100% |
1874
22.3 IPS |
|
|
Face Detection (Q)
|
97% |
1291
15.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3208
24.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
3513
27.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
2362
18.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11171
14.4 IPS |
|
|
Style Transfer (HP)
|
100% |
15096
19.4 IPS |
|
|
Style Transfer (Q)
|
98% |
8282
10.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1916
70.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2663
98.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
970
35.9 IPS |
|
|
Text Classification (SP)
|
100% |
915
1.22 KIPS |
|
|
Text Classification (HP)
|
100% |
483
644.3 IPS |
|
|
Text Classification (Q)
|
97% |
420
562.4 IPS |
|
|
Machine Translation (SP)
|
100% |
722
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
751
12.9 IPS |
|
|
Machine Translation (Q)
|
70% |
382
7.17 IPS |
