Micro-Star International Co., Ltd. MS-7D86
Geekbench AI Score
2667
Single Precision Score
3757
Half Precision Score
5879
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Deimorin |
| Upload Date | April 26 2025 07:42 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 770 (iGPU) |
| 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% |
1570
292.0 IPS |
|
|
Image Classification (HP)
|
100% |
2524
469.3 IPS |
|
|
Image Classification (Q)
|
99% |
3989
743.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2430
39.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3903
63.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4616
74.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4502
5.25 IPS |
|
|
Pose Estimation (HP)
|
99% |
3282
3.83 IPS |
|
|
Pose Estimation (Q)
|
97% |
13549
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
1406
111.5 IPS |
|
|
Object Detection (HP)
|
98% |
2078
165.4 IPS |
|
|
Object Detection (Q)
|
90% |
3976
317.9 IPS |
|
|
Face Detection (SP)
|
100% |
4993
59.3 IPS |
|
|
Face Detection (HP)
|
100% |
7824
93.0 IPS |
|
|
Face Detection (Q)
|
100% |
10051
119.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5093
39.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
8486
65.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
11485
89.3 IPS |
|
|
Style Transfer (SP)
|
100% |
11595
14.9 IPS |
|
|
Style Transfer (HP)
|
100% |
18179
23.4 IPS |
|
|
Style Transfer (Q)
|
98% |
30483
39.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2068
76.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3325
122.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6723
249.0 IPS |
|
|
Text Classification (SP)
|
71% |
1208
1.75 KIPS |
|
|
Text Classification (HP)
|
71% |
1451
2.10 KIPS |
|
|
Text Classification (Q)
|
92% |
1413
1.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
1027
17.7 IPS |
|
|
Machine Translation (HP)
|
98% |
1435
24.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1488
25.6 IPS |
