Micro-Star International Co., Ltd. MS-7D91
Geekbench AI Score
32767
Single Precision Score
56392
Half Precision Score
24940
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | November 13 2025 01:55 PM |
| Views | 2 |
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% |
13102
2.44 KIPS |
|
|
Image Classification (HP)
|
100% |
20244
3.76 KIPS |
|
|
Image Classification (Q)
|
100% |
11818
2.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25377
411.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
37290
604.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
22506
366.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
172079
200.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
673631
786.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
156140
182.9 IPS |
|
|
Object Detection (SP)
|
100% |
16705
1.33 KIPS |
|
|
Object Detection (HP)
|
100% |
25414
2.02 KIPS |
|
|
Object Detection (Q)
|
86% |
14030
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
47972
570.0 IPS |
|
|
Face Detection (HP)
|
100% |
67894
806.7 IPS |
|
|
Face Detection (Q)
|
97% |
40126
478.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
83379
642.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
148990
1.15 KIPS |
|
|
Depth Estimation (Q)
|
78% |
63297
505.4 IPS |
|
|
Style Transfer (SP)
|
100% |
309183
397.5 IPS |
|
|
Style Transfer (HP)
|
100% |
993231
1.28 KIPS |
|
|
Style Transfer (Q)
|
98% |
255589
329.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46342
1.71 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
76500
2.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35667
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
3790
5.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4736
6.32 KIPS |
|
|
Text Classification (Q)
|
97% |
2286
3.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
6873
118.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6914
119.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3019
56.6 IPS |
