Micro-Star International Co., Ltd. MS-7D86
Geekbench AI Score
2583
Single Precision Score
3635
Half Precision Score
5747
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Deimorin |
| Upload Date | August 25 2025 10:42 AM |
| Views | 4 |
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% |
1475
274.3 IPS |
|
|
Image Classification (HP)
|
100% |
2250
418.5 IPS |
|
|
Image Classification (Q)
|
99% |
4277
797.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2511
40.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4107
66.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4850
78.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4350
5.08 IPS |
|
|
Pose Estimation (HP)
|
99% |
3161
3.69 IPS |
|
|
Pose Estimation (Q)
|
97% |
12954
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1485
117.8 IPS |
|
|
Object Detection (HP)
|
98% |
2305
183.4 IPS |
|
|
Object Detection (Q)
|
90% |
3877
310.0 IPS |
|
|
Face Detection (SP)
|
100% |
5046
60.0 IPS |
|
|
Face Detection (HP)
|
100% |
8038
95.5 IPS |
|
|
Face Detection (Q)
|
100% |
10046
119.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5114
39.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
8561
66.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
11685
90.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11258
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
17775
22.9 IPS |
|
|
Style Transfer (Q)
|
98% |
30000
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2023
74.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3255
120.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6608
244.7 IPS |
|
|
Text Classification (SP)
|
71% |
854
1.24 KIPS |
|
|
Text Classification (HP)
|
71% |
967
1.40 KIPS |
|
|
Text Classification (Q)
|
92% |
1005
1.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1101
19.0 IPS |
|
|
Machine Translation (HP)
|
98% |
1554
26.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1614
27.8 IPS |
