Micro-Star International Co., Ltd. MS-7D25
Geekbench AI Score
2506
Single Precision Score
3522
Half Precision Score
5426
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | swooned6444 |
| Upload Date | October 18 2025 03:25 PM |
| Views | 6 |
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-7D25 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z690-A (MS-7D25) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1586
295.0 IPS |
|
|
Image Classification (HP)
|
100% |
2614
486.1 IPS |
|
|
Image Classification (Q)
|
99% |
4014
748.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2377
38.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3887
63.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4504
73.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4242
4.95 IPS |
|
|
Pose Estimation (HP)
|
99% |
3085
3.60 IPS |
|
|
Pose Estimation (Q)
|
97% |
12635
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1444
114.6 IPS |
|
|
Object Detection (HP)
|
98% |
2253
179.2 IPS |
|
|
Object Detection (Q)
|
90% |
4239
338.9 IPS |
|
|
Face Detection (SP)
|
100% |
5060
60.1 IPS |
|
|
Face Detection (HP)
|
100% |
7885
93.7 IPS |
|
|
Face Detection (Q)
|
100% |
10388
123.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4952
38.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
8408
65.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
11462
89.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10960
14.1 IPS |
|
|
Style Transfer (HP)
|
100% |
17186
22.1 IPS |
|
|
Style Transfer (Q)
|
98% |
29013
37.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1973
72.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3189
117.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6587
244.0 IPS |
|
|
Text Classification (SP)
|
71% |
785
1.14 KIPS |
|
|
Text Classification (HP)
|
71% |
762
1.10 KIPS |
|
|
Text Classification (Q)
|
92% |
778
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
995
17.1 IPS |
|
|
Machine Translation (HP)
|
98% |
1503
26.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1292
22.3 IPS |
