Micro-Star International Co., Ltd. MS-7D26
Geekbench AI Score
5748
Single Precision Score
5757
Half Precision Score
12008
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | April 15 2025 11:13 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i9-13900T |
| 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% |
3412
634.6 IPS |
|
|
Image Classification (HP)
|
100% |
3311
615.8 IPS |
|
|
Image Classification (Q)
|
100% |
7577
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4873
79.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4839
78.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
8874
143.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8696
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
8718
10.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
26459
31.0 IPS |
|
|
Object Detection (SP)
|
100% |
3270
259.4 IPS |
|
|
Object Detection (HP)
|
100% |
3370
267.3 IPS |
|
|
Object Detection (Q)
|
88% |
8189
656.5 IPS |
|
|
Face Detection (SP)
|
100% |
10887
129.4 IPS |
|
|
Face Detection (HP)
|
100% |
11026
131.0 IPS |
|
|
Face Detection (Q)
|
100% |
19330
229.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8943
68.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9003
69.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
22156
172.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25352
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
25344
32.6 IPS |
|
|
Style Transfer (Q)
|
98% |
72402
93.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4895
180.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4879
180.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13120
485.9 IPS |
|
|
Text Classification (SP)
|
100% |
2486
3.32 KIPS |
|
|
Text Classification (HP)
|
100% |
2533
3.38 KIPS |
|
|
Text Classification (Q)
|
92% |
3838
5.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2773
47.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2734
47.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2742
47.2 IPS |
