Micro-Star International Co., Ltd. MS-7D26
Geekbench AI Score
3248
Single Precision Score
4055
Half Precision Score
5719
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | April 17 2025 04:24 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Server GPU SG-18M (dGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D26 |
| Motherboard | Micro-Star International Co., Ltd. MEG Z690 GODLIKE (MS-7D26) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900T |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 1.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1937
360.3 IPS |
|
|
Image Classification (HP)
|
100% |
2505
465.9 IPS |
|
|
Image Classification (Q)
|
99% |
3060
570.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2408
39.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3117
50.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3271
53.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8415
9.82 IPS |
|
|
Pose Estimation (HP)
|
99% |
6143
7.17 IPS |
|
|
Pose Estimation (Q)
|
97% |
24671
28.9 IPS |
|
|
Object Detection (SP)
|
100% |
1851
146.8 IPS |
|
|
Object Detection (HP)
|
99% |
2551
202.9 IPS |
|
|
Object Detection (Q)
|
90% |
3544
283.4 IPS |
|
|
Face Detection (SP)
|
100% |
4919
58.5 IPS |
|
|
Face Detection (HP)
|
100% |
6821
81.0 IPS |
|
|
Face Detection (Q)
|
100% |
8883
105.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8045
62.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11909
92.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
15922
123.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21104
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28838
37.1 IPS |
|
|
Style Transfer (Q)
|
98% |
51763
66.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3346
123.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4946
182.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8001
296.3 IPS |
|
|
Text Classification (SP)
|
71% |
892
1.29 KIPS |
|
|
Text Classification (HP)
|
71% |
1115
1.61 KIPS |
|
|
Text Classification (Q)
|
92% |
961
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
723
12.5 IPS |
|
|
Machine Translation (HP)
|
97% |
761
13.2 IPS |
|
|
Machine Translation (Q)
|
98% |
760
13.1 IPS |
