Micro-Star International Co., Ltd. MS-7D91
Geekbench AI Score
32962
Single Precision Score
56536
Half Precision Score
24998
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | iClondike |
| Upload Date | November 14 2025 05:21 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D91 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z790 TOMAHAWK WIFI (MS-7D91) |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700K |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13104
2.44 KIPS |
|
|
Image Classification (HP)
|
100% |
19475
3.62 KIPS |
|
|
Image Classification (Q)
|
100% |
11743
2.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25456
412.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
36770
596.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
22036
358.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
173856
202.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
677235
790.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
155722
182.4 IPS |
|
|
Object Detection (SP)
|
100% |
16627
1.32 KIPS |
|
|
Object Detection (HP)
|
100% |
26285
2.08 KIPS |
|
|
Object Detection (Q)
|
86% |
13910
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
47779
567.7 IPS |
|
|
Face Detection (HP)
|
100% |
67611
803.4 IPS |
|
|
Face Detection (Q)
|
97% |
40212
479.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
83763
645.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
149050
1.15 KIPS |
|
|
Depth Estimation (Q)
|
78% |
63691
508.6 IPS |
|
|
Style Transfer (SP)
|
100% |
312097
401.2 IPS |
|
|
Style Transfer (HP)
|
100% |
998638
1.28 KIPS |
|
|
Style Transfer (Q)
|
98% |
260063
335.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46448
1.72 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
77925
2.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35626
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
3919
5.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4834
6.45 KIPS |
|
|
Text Classification (Q)
|
97% |
2354
3.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
6907
119.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6904
118.9 IPS |
|
|
Machine Translation (Q)
|
70% |
3044
57.1 IPS |
