Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
30767
Single Precision Score
51477
Half Precision Score
23561
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 24 2025 12:49 PM |
| Views | 2 |
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-7E06 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z790-P WIFI (MS-7E06) |
| Power Plan | Balanced |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13554
2.52 KIPS |
|
|
Image Classification (HP)
|
100% |
19955
3.71 KIPS |
|
|
Image Classification (Q)
|
100% |
12060
2.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19415
314.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
26634
431.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
17990
292.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
164991
192.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
624386
728.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
146860
172.0 IPS |
|
|
Object Detection (SP)
|
100% |
16022
1.27 KIPS |
|
|
Object Detection (HP)
|
100% |
25184
2.00 KIPS |
|
|
Object Detection (Q)
|
86% |
13279
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
42115
500.4 IPS |
|
|
Face Detection (HP)
|
100% |
55431
658.6 IPS |
|
|
Face Detection (Q)
|
97% |
35966
428.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
80930
623.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
136168
1.05 KIPS |
|
|
Depth Estimation (Q)
|
78% |
57722
460.9 IPS |
|
|
Style Transfer (SP)
|
100% |
305750
393.0 IPS |
|
|
Style Transfer (HP)
|
100% |
971827
1.25 KIPS |
|
|
Style Transfer (Q)
|
98% |
257232
331.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47467
1.75 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
77929
2.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35725
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
4072
5.43 KIPS |
|
|
Text Classification (HP)
|
100% |
4946
6.60 KIPS |
|
|
Text Classification (Q)
|
97% |
2411
3.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
5426
93.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5530
95.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2709
50.8 IPS |
