Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
33289
Single Precision Score
56416
Half Precision Score
25510
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 12 2025 03:49 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-7E32 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z890 TOMAHAWK WIFI (MS-7E32) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13272
2.47 KIPS |
|
|
Image Classification (HP)
|
100% |
20154
3.75 KIPS |
|
|
Image Classification (Q)
|
100% |
11900
2.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25343
410.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
36073
584.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
22415
364.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
181036
211.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
694618
810.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
163560
191.6 IPS |
|
|
Object Detection (SP)
|
100% |
16518
1.31 KIPS |
|
|
Object Detection (HP)
|
100% |
25184
2.00 KIPS |
|
|
Object Detection (Q)
|
86% |
14122
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
50159
596.0 IPS |
|
|
Face Detection (HP)
|
100% |
70804
841.3 IPS |
|
|
Face Detection (Q)
|
97% |
41600
496.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
87804
676.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
151712
1.17 KIPS |
|
|
Depth Estimation (Q)
|
78% |
65651
524.2 IPS |
|
|
Style Transfer (SP)
|
100% |
326048
419.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1004894
1.29 KIPS |
|
|
Style Transfer (Q)
|
98% |
269749
347.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46328
1.71 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
77991
2.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36016
1.33 KIPS |
|
|
Text Classification (SP)
|
100% |
3851
5.14 KIPS |
|
|
Text Classification (HP)
|
100% |
4629
6.18 KIPS |
|
|
Text Classification (Q)
|
97% |
2384
3.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
6486
111.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6591
113.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2995
56.2 IPS |
