Micro-Star International Co., Ltd. MS-7D91
Geekbench AI Score
27666
Single Precision Score
41430
Half Precision Score
21082
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Sikelik |
| Upload Date | August 07 2025 06:45 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro N (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D91 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z790 TOMAHAWK WIFI (MS-7D91) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700KF |
| 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% |
10622
1.98 KIPS |
|
|
Image Classification (HP)
|
99% |
16278
3.04 KIPS |
|
|
Image Classification (Q)
|
100% |
9430
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20146
326.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
25484
413.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
17437
283.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
154461
180.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
353198
412.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
137006
160.5 IPS |
|
|
Object Detection (SP)
|
100% |
13544
1.07 KIPS |
|
|
Object Detection (HP)
|
100% |
20982
1.66 KIPS |
|
|
Object Detection (Q)
|
85% |
11318
911.1 IPS |
|
|
Face Detection (SP)
|
100% |
35748
424.8 IPS |
|
|
Face Detection (HP)
|
100% |
50373
598.5 IPS |
|
|
Face Detection (Q)
|
97% |
30726
366.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
65302
503.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
109274
841.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
51279
409.5 IPS |
|
|
Style Transfer (SP)
|
100% |
262142
337.0 IPS |
|
|
Style Transfer (HP)
|
100% |
580444
746.2 IPS |
|
|
Style Transfer (Q)
|
98% |
233379
300.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47070
1.74 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
58183
2.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33447
1.24 KIPS |
|
|
Text Classification (SP)
|
100% |
3811
5.09 KIPS |
|
|
Text Classification (HP)
|
99% |
4668
6.23 KIPS |
|
|
Text Classification (Q)
|
97% |
2287
3.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
5347
92.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5585
96.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2419
45.4 IPS |
