Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
31358
Single Precision Score
53246
Half Precision Score
23926
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | August 31 2025 01:49 PM |
| Views | 3 |
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. Z790 GAMING PLUS WIFI (MS-7E06) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) i9-14900KS |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13757
2.56 KIPS |
|
|
Image Classification (HP)
|
100% |
20881
3.88 KIPS |
|
|
Image Classification (Q)
|
100% |
12049
2.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20071
325.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
26634
431.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
18276
297.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
162118
189.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
641751
748.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
148976
174.5 IPS |
|
|
Object Detection (SP)
|
100% |
16596
1.32 KIPS |
|
|
Object Detection (HP)
|
100% |
25997
2.06 KIPS |
|
|
Object Detection (Q)
|
86% |
14117
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
43457
516.4 IPS |
|
|
Face Detection (HP)
|
100% |
58141
690.8 IPS |
|
|
Face Detection (Q)
|
97% |
36774
438.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
83195
641.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
143475
1.11 KIPS |
|
|
Depth Estimation (Q)
|
78% |
61900
494.3 IPS |
|
|
Style Transfer (SP)
|
100% |
308501
396.6 IPS |
|
|
Style Transfer (HP)
|
100% |
985905
1.27 KIPS |
|
|
Style Transfer (Q)
|
98% |
256192
330.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47184
1.74 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
79787
2.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35748
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
4237
5.65 KIPS |
|
|
Text Classification (HP)
|
100% |
5295
7.07 KIPS |
|
|
Text Classification (Q)
|
97% |
2373
3.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
5550
95.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5683
97.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2684
50.3 IPS |
