Micro-Star International Co., Ltd. MS-7E07
Geekbench AI Score
32218
Single Precision Score
56905
Half Precision Score
24366
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | December 09 2025 12:10 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-7E07 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z790-A MAX WIFI (MS-7E07) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13352
2.48 KIPS |
|
|
Image Classification (HP)
|
100% |
20544
3.82 KIPS |
|
|
Image Classification (Q)
|
100% |
11807
2.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24625
399.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
36038
584.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
21492
349.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
164931
192.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
673811
786.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
151804
177.8 IPS |
|
|
Object Detection (SP)
|
100% |
16540
1.31 KIPS |
|
|
Object Detection (HP)
|
100% |
26033
2.06 KIPS |
|
|
Object Detection (Q)
|
86% |
14201
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
46202
549.0 IPS |
|
|
Face Detection (HP)
|
100% |
68642
815.6 IPS |
|
|
Face Detection (Q)
|
97% |
38709
461.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
79532
612.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
151159
1.16 KIPS |
|
|
Depth Estimation (Q)
|
78% |
60530
483.3 IPS |
|
|
Style Transfer (SP)
|
100% |
294813
379.0 IPS |
|
|
Style Transfer (HP)
|
100% |
994463
1.28 KIPS |
|
|
Style Transfer (Q)
|
98% |
240726
310.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46569
1.72 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
77416
2.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35618
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
3927
5.24 KIPS |
|
|
Text Classification (HP)
|
100% |
5021
6.70 KIPS |
|
|
Text Classification (Q)
|
97% |
2349
3.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
6782
116.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6836
117.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2858
53.6 IPS |
