Micro-Star International Co., Ltd. MS-7D86
Geekbench AI Score
1822
Single Precision Score
1846
Half Precision Score
1234
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Deimorin |
| Upload Date | August 02 2025 11:46 AM |
| Views | 3 |
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-7D86 |
| Motherboard | Micro-Star International Co., Ltd. MEG Z790 ACE MAX (MS-7D86) |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
805
149.7 IPS |
|
|
Image Classification (HP)
|
100% |
803
149.3 IPS |
|
|
Image Classification (Q)
|
100% |
690
128.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1101
17.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1247
20.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
842
13.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5642
6.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
6092
7.11 IPS |
|
|
Pose Estimation (Q)
|
96% |
3753
4.40 IPS |
|
|
Object Detection (SP)
|
100% |
884
70.1 IPS |
|
|
Object Detection (HP)
|
98% |
745
59.3 IPS |
|
|
Object Detection (Q)
|
86% |
741
59.5 IPS |
|
|
Face Detection (SP)
|
100% |
1778
21.1 IPS |
|
|
Face Detection (HP)
|
100% |
1892
22.5 IPS |
|
|
Face Detection (Q)
|
97% |
1291
15.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3258
25.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
3601
27.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
2438
19.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11488
14.8 IPS |
|
|
Style Transfer (HP)
|
100% |
15555
20.0 IPS |
|
|
Style Transfer (Q)
|
98% |
8552
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1989
73.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2718
100.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1006
37.3 IPS |
|
|
Text Classification (SP)
|
100% |
921
1.23 KIPS |
|
|
Text Classification (HP)
|
100% |
503
671.8 IPS |
|
|
Text Classification (Q)
|
97% |
461
617.3 IPS |
|
|
Machine Translation (SP)
|
100% |
751
12.9 IPS |
|
|
Machine Translation (HP)
|
100% |
699
12.0 IPS |
|
|
Machine Translation (Q)
|
70% |
408
7.65 IPS |
