Micro-Star International Co., Ltd. MS-7D86
Geekbench AI Score
1841
Single Precision Score
1883
Half Precision Score
1247
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Deimorin |
| Upload Date | June 30 2025 10:36 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% |
811
150.8 IPS |
|
|
Image Classification (HP)
|
100% |
821
152.6 IPS |
|
|
Image Classification (Q)
|
100% |
696
129.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1107
17.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1248
20.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
826
13.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5285
6.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
6050
7.06 IPS |
|
|
Pose Estimation (Q)
|
96% |
3767
4.41 IPS |
|
|
Object Detection (SP)
|
100% |
887
70.4 IPS |
|
|
Object Detection (HP)
|
98% |
749
59.6 IPS |
|
|
Object Detection (Q)
|
86% |
744
59.8 IPS |
|
|
Face Detection (SP)
|
100% |
1805
21.4 IPS |
|
|
Face Detection (HP)
|
100% |
1951
23.2 IPS |
|
|
Face Detection (Q)
|
97% |
1340
16.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3337
25.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
3672
28.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
2463
19.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11549
14.8 IPS |
|
|
Style Transfer (HP)
|
100% |
15547
20.0 IPS |
|
|
Style Transfer (Q)
|
98% |
8584
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1976
73.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2714
100.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1005
37.2 IPS |
|
|
Text Classification (SP)
|
100% |
942
1.26 KIPS |
|
|
Text Classification (HP)
|
100% |
513
684.7 IPS |
|
|
Text Classification (Q)
|
97% |
468
626.5 IPS |
|
|
Machine Translation (SP)
|
100% |
821
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
780
13.4 IPS |
|
|
Machine Translation (Q)
|
70% |
425
7.97 IPS |
