Micro-Star International Co., Ltd. MS-7D85
Geekbench AI Score
38885
Single Precision Score
52900
Half Precision Score
29485
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | July 27 2025 08:50 PM |
| Views | 9 |
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% |
13648
2.54 KIPS |
|
|
Image Classification (HP)
|
99% |
18173
3.39 KIPS |
|
|
Image Classification (Q)
|
100% |
11806
2.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25535
413.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
32108
520.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
23288
378.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
324433
378.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
547578
638.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
280569
328.7 IPS |
|
|
Object Detection (SP)
|
100% |
18833
1.49 KIPS |
|
|
Object Detection (HP)
|
100% |
23502
1.86 KIPS |
|
|
Object Detection (Q)
|
86% |
15515
1.25 KIPS |
|
|
Face Detection (SP)
|
100% |
53113
631.1 IPS |
|
|
Face Detection (HP)
|
100% |
66438
789.4 IPS |
|
|
Face Detection (Q)
|
97% |
45777
545.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
98396
758.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
159858
1.23 KIPS |
|
|
Depth Estimation (Q)
|
77% |
72170
577.2 IPS |
|
|
Style Transfer (SP)
|
100% |
571947
735.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1087073
1.40 KIPS |
|
|
Style Transfer (Q)
|
98% |
484995
625.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
60498
2.23 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
78945
2.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44791
1.66 KIPS |
|
|
Text Classification (SP)
|
100% |
3574
4.77 KIPS |
|
|
Text Classification (HP)
|
99% |
4415
5.89 KIPS |
|
|
Text Classification (Q)
|
97% |
2151
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
5744
98.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5680
97.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2688
50.4 IPS |
