Micro-Star International Co., Ltd. MS-7D26
Geekbench AI Score
3311
Single Precision Score
2892
Half Precision Score
2596
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | April 16 2025 12:14 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Moore Threads MTT S80 |
| 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% |
1676
311.6 IPS |
|
|
Image Classification (HP)
|
100% |
1414
263.0 IPS |
|
|
Image Classification (Q)
|
100% |
1441
268.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3607
58.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3316
53.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3049
49.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12739
14.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10409
12.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
11845
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1909
151.4 IPS |
|
|
Object Detection (HP)
|
100% |
1571
124.6 IPS |
|
|
Object Detection (Q)
|
86% |
1637
131.6 IPS |
|
|
Face Detection (SP)
|
100% |
5425
64.5 IPS |
|
|
Face Detection (HP)
|
100% |
4855
57.7 IPS |
|
|
Face Detection (Q)
|
97% |
4553
54.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6216
47.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
5083
39.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
5250
41.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25287
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
20333
26.1 IPS |
|
|
Style Transfer (Q)
|
98% |
23154
29.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3764
139.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3076
113.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3078
114.0 IPS |
|
|
Text Classification (SP)
|
100% |
400
534.1 IPS |
|
|
Text Classification (HP)
|
100% |
420
560.4 IPS |
|
|
Text Classification (Q)
|
97% |
271
363.3 IPS |
|
|
Machine Translation (SP)
|
100% |
839
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
825
14.2 IPS |
|
|
Machine Translation (Q)
|
70% |
354
6.64 IPS |
