Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
30820
Single Precision Score
52557
Half Precision Score
23445
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | July 15 2025 09:44 AM |
| 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(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% |
13492
2.51 KIPS |
|
|
Image Classification (HP)
|
100% |
20225
3.76 KIPS |
|
|
Image Classification (Q)
|
100% |
11869
2.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19783
320.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
26864
435.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
16466
267.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
157796
184.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
626321
730.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
151077
177.0 IPS |
|
|
Object Detection (SP)
|
100% |
16140
1.28 KIPS |
|
|
Object Detection (HP)
|
100% |
26203
2.08 KIPS |
|
|
Object Detection (Q)
|
86% |
13491
1.08 KIPS |
|
|
Face Detection (SP)
|
100% |
43189
513.2 IPS |
|
|
Face Detection (HP)
|
100% |
57729
685.9 IPS |
|
|
Face Detection (Q)
|
97% |
36018
429.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
79856
615.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
141191
1.09 KIPS |
|
|
Depth Estimation (Q)
|
78% |
60219
480.9 IPS |
|
|
Style Transfer (SP)
|
100% |
306358
393.8 IPS |
|
|
Style Transfer (HP)
|
100% |
965386
1.24 KIPS |
|
|
Style Transfer (Q)
|
98% |
259359
334.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45961
1.70 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
77539
2.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35586
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
4212
5.62 KIPS |
|
|
Text Classification (HP)
|
100% |
5275
7.04 KIPS |
|
|
Text Classification (Q)
|
97% |
2325
3.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
5562
95.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5604
96.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2707
50.8 IPS |
