Micro-Star International Co., Ltd. MS-7D86
Geekbench AI Score
1826
Single Precision Score
1858
Half Precision Score
1237
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Deimorin |
| Upload Date | August 02 2025 11:42 AM |
| Views | 4 |
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% |
751
139.6 IPS |
|
|
Image Classification (HP)
|
100% |
797
148.2 IPS |
|
|
Image Classification (Q)
|
100% |
672
124.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1101
17.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1249
20.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
842
13.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5609
6.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
6130
7.15 IPS |
|
|
Pose Estimation (Q)
|
96% |
3758
4.40 IPS |
|
|
Object Detection (SP)
|
100% |
889
70.5 IPS |
|
|
Object Detection (HP)
|
98% |
749
59.6 IPS |
|
|
Object Detection (Q)
|
86% |
742
59.6 IPS |
|
|
Face Detection (SP)
|
100% |
1798
21.4 IPS |
|
|
Face Detection (HP)
|
100% |
1948
23.1 IPS |
|
|
Face Detection (Q)
|
97% |
1335
15.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3326
25.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
3666
28.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
2456
19.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11549
14.8 IPS |
|
|
Style Transfer (HP)
|
100% |
15552
20.0 IPS |
|
|
Style Transfer (Q)
|
98% |
8564
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1985
73.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2713
100.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1000
37.0 IPS |
|
|
Text Classification (SP)
|
100% |
899
1.20 KIPS |
|
|
Text Classification (HP)
|
100% |
469
626.1 IPS |
|
|
Text Classification (Q)
|
97% |
449
601.7 IPS |
|
|
Machine Translation (SP)
|
100% |
812
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
762
13.1 IPS |
|
|
Machine Translation (Q)
|
70% |
424
7.95 IPS |
