Micro-Star International Co., Ltd. MS-7D86
Geekbench AI Score
1808
Single Precision Score
1843
Half Precision Score
1222
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Deimorin |
| Upload Date | April 26 2025 07:48 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-7D86 |
| Motherboard | Micro-Star International Co., Ltd. MEG Z790 ACE MAX (MS-7D86) |
| Power Plan | Ausbalanciert |
| 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% |
789
146.7 IPS |
|
|
Image Classification (HP)
|
100% |
781
145.3 IPS |
|
|
Image Classification (Q)
|
100% |
662
123.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1078
17.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1208
19.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
823
13.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5584
6.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
6156
7.18 IPS |
|
|
Pose Estimation (Q)
|
96% |
3748
4.39 IPS |
|
|
Object Detection (SP)
|
100% |
867
68.8 IPS |
|
|
Object Detection (HP)
|
98% |
721
57.3 IPS |
|
|
Object Detection (Q)
|
86% |
728
58.5 IPS |
|
|
Face Detection (SP)
|
100% |
1762
20.9 IPS |
|
|
Face Detection (HP)
|
100% |
1900
22.6 IPS |
|
|
Face Detection (Q)
|
97% |
1308
15.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3277
25.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
3565
27.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
2424
19.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11512
14.8 IPS |
|
|
Style Transfer (HP)
|
100% |
15523
20.0 IPS |
|
|
Style Transfer (Q)
|
98% |
8523
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1959
72.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2699
99.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
998
37.0 IPS |
|
|
Text Classification (SP)
|
100% |
931
1.24 KIPS |
|
|
Text Classification (HP)
|
100% |
530
707.7 IPS |
|
|
Text Classification (Q)
|
97% |
465
623.2 IPS |
|
|
Machine Translation (SP)
|
100% |
751
12.9 IPS |
|
|
Machine Translation (HP)
|
100% |
719
12.4 IPS |
|
|
Machine Translation (Q)
|
70% |
400
7.51 IPS |
