Micro-Star International Co., Ltd. MS-7D86
Geekbench AI Score
2545
Single Precision Score
3546
Half Precision Score
5407
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Deimorin |
| Upload Date | May 07 2025 02:53 PM |
| Views | 8 |
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 | Ultimative Leistung |
| 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% |
1583
294.4 IPS |
|
|
Image Classification (HP)
|
100% |
2608
485.0 IPS |
|
|
Image Classification (Q)
|
99% |
3868
721.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2410
39.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3651
59.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4341
70.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4498
5.25 IPS |
|
|
Pose Estimation (HP)
|
99% |
3287
3.83 IPS |
|
|
Pose Estimation (Q)
|
97% |
13565
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
1474
116.9 IPS |
|
|
Object Detection (HP)
|
98% |
2294
182.5 IPS |
|
|
Object Detection (Q)
|
90% |
4096
327.5 IPS |
|
|
Face Detection (SP)
|
100% |
5181
61.6 IPS |
|
|
Face Detection (HP)
|
100% |
7945
94.4 IPS |
|
|
Face Detection (Q)
|
100% |
10369
123.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5159
39.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
8560
66.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
11183
87.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11525
14.8 IPS |
|
|
Style Transfer (HP)
|
100% |
18058
23.2 IPS |
|
|
Style Transfer (Q)
|
98% |
30059
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2000
73.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3157
116.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5977
221.4 IPS |
|
|
Text Classification (SP)
|
71% |
867
1.25 KIPS |
|
|
Text Classification (HP)
|
71% |
1004
1.45 KIPS |
|
|
Text Classification (Q)
|
92% |
992
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
846
14.6 IPS |
|
|
Machine Translation (HP)
|
98% |
1125
19.4 IPS |
|
|
Machine Translation (Q)
|
100% |
1108
19.1 IPS |
