Micro-Star International Co., Ltd. MS-7D41
Geekbench AI Score
27561
Single Precision Score
44168
Half Precision Score
21449
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 22 2025 01:01 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D41 |
| Motherboard | Micro-Star International Co., Ltd. MAG B660 TOMAHAWK WIFI DDR4 (MS-7D41) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12400F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 80.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10287
1.91 KIPS |
|
|
Image Classification (HP)
|
100% |
15003
2.79 KIPS |
|
|
Image Classification (Q)
|
100% |
9591
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20328
329.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
26637
431.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
17658
287.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
159918
186.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
593484
692.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
148716
174.2 IPS |
|
|
Object Detection (SP)
|
100% |
13856
1.10 KIPS |
|
|
Object Detection (HP)
|
100% |
19994
1.59 KIPS |
|
|
Object Detection (Q)
|
86% |
11629
934.3 IPS |
|
|
Face Detection (SP)
|
100% |
39030
463.8 IPS |
|
|
Face Detection (HP)
|
100% |
49445
587.5 IPS |
|
|
Face Detection (Q)
|
97% |
32529
387.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
77883
600.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
130230
1.00 KIPS |
|
|
Depth Estimation (Q)
|
78% |
59065
471.6 IPS |
|
|
Style Transfer (SP)
|
100% |
293235
377.0 IPS |
|
|
Style Transfer (HP)
|
100% |
849077
1.09 KIPS |
|
|
Style Transfer (Q)
|
98% |
245557
316.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40222
1.49 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
62567
2.31 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31724
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
2926
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
3381
4.51 KIPS |
|
|
Text Classification (Q)
|
97% |
1874
2.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
5204
89.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5152
88.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2509
47.1 IPS |
