Micro-Star International Co., Ltd. MS-7D85
Geekbench AI Score
39334
Single Precision Score
53413
Half Precision Score
29598
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | May 29 2025 12:23 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D85 |
| Motherboard | Micro-Star International Co., Ltd. MEG Z790 GODLIKE (MS-7D85) |
| 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 | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14047
2.61 KIPS |
|
|
Image Classification (HP)
|
99% |
18506
3.45 KIPS |
|
|
Image Classification (Q)
|
100% |
12113
2.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25423
412.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
31908
517.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
23108
375.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
323768
377.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
545855
636.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
278179
325.9 IPS |
|
|
Object Detection (SP)
|
100% |
19318
1.53 KIPS |
|
|
Object Detection (HP)
|
100% |
24139
1.91 KIPS |
|
|
Object Detection (Q)
|
86% |
15843
1.27 KIPS |
|
|
Face Detection (SP)
|
100% |
54583
648.6 IPS |
|
|
Face Detection (HP)
|
100% |
68808
817.6 IPS |
|
|
Face Detection (Q)
|
97% |
45650
544.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
99247
764.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
159481
1.23 KIPS |
|
|
Depth Estimation (Q)
|
77% |
72673
581.2 IPS |
|
|
Style Transfer (SP)
|
100% |
568710
731.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1092110
1.40 KIPS |
|
|
Style Transfer (Q)
|
98% |
481867
621.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
60463
2.23 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
79700
2.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45075
1.67 KIPS |
|
|
Text Classification (SP)
|
100% |
3685
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
4486
5.99 KIPS |
|
|
Text Classification (Q)
|
97% |
2186
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
5783
99.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5670
97.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2656
49.8 IPS |
