Micro-Star International Co., Ltd. MS-7E07
Geekbench AI Score
31383
Single Precision Score
53491
Half Precision Score
24330
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 29 2025 10:54 AM |
| Views | 8 |
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% |
13660
2.54 KIPS |
|
|
Image Classification (HP)
|
100% |
20558
3.82 KIPS |
|
|
Image Classification (Q)
|
100% |
12199
2.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20170
327.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
26579
430.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
18215
296.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
163229
190.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
669531
781.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
156564
183.4 IPS |
|
|
Object Detection (SP)
|
100% |
16305
1.29 KIPS |
|
|
Object Detection (HP)
|
100% |
25446
2.02 KIPS |
|
|
Object Detection (Q)
|
86% |
13952
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
41602
494.3 IPS |
|
|
Face Detection (HP)
|
100% |
58026
689.5 IPS |
|
|
Face Detection (Q)
|
97% |
37138
442.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
84231
649.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
151824
1.17 KIPS |
|
|
Depth Estimation (Q)
|
78% |
62757
501.1 IPS |
|
|
Style Transfer (SP)
|
100% |
314027
403.7 IPS |
|
|
Style Transfer (HP)
|
100% |
997792
1.28 KIPS |
|
|
Style Transfer (Q)
|
98% |
260281
335.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
48407
1.79 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
78710
2.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36779
1.36 KIPS |
|
|
Text Classification (SP)
|
100% |
4196
5.60 KIPS |
|
|
Text Classification (HP)
|
100% |
5278
7.04 KIPS |
|
|
Text Classification (Q)
|
97% |
2503
3.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
5656
97.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5642
97.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2682
50.3 IPS |
