Micro-Star International Co., Ltd. MS-7D26
Geekbench AI Score
5674
Single Precision Score
5656
Half Precision Score
11891
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | April 08 2025 02:09 AM |
| Views | 5 |
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% |
3381
628.8 IPS |
|
|
Image Classification (HP)
|
100% |
3392
630.7 IPS |
|
|
Image Classification (Q)
|
100% |
7492
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4583
74.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4556
73.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
8824
143.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8689
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
8648
10.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
25773
30.2 IPS |
|
|
Object Detection (SP)
|
100% |
3305
262.1 IPS |
|
|
Object Detection (HP)
|
100% |
3113
246.9 IPS |
|
|
Object Detection (Q)
|
88% |
8163
654.4 IPS |
|
|
Face Detection (SP)
|
100% |
10889
129.4 IPS |
|
|
Face Detection (HP)
|
100% |
10904
129.6 IPS |
|
|
Face Detection (Q)
|
100% |
19006
225.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9043
69.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
8985
69.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
21432
166.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25308
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
25160
32.3 IPS |
|
|
Style Transfer (Q)
|
98% |
72702
93.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4749
175.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4902
181.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13229
489.9 IPS |
|
|
Text Classification (SP)
|
100% |
2447
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
2526
3.37 KIPS |
|
|
Text Classification (Q)
|
92% |
3869
5.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
2688
46.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2643
45.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2682
46.2 IPS |
