Micro-Star International Co., Ltd. MS-7E42
Geekbench AI Score
31746
Single Precision Score
54958
Half Precision Score
24008
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | GERRARD__8 |
| Upload Date | June 17 2025 02:29 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E42 |
| Motherboard | Micro-Star International Co., Ltd. B860M GAMING PLUS WIFI (MS-7E42) |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265KF |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12957
2.41 KIPS |
|
|
Image Classification (HP)
|
100% |
20223
3.76 KIPS |
|
|
Image Classification (Q)
|
100% |
11377
2.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24214
392.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
35193
570.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
21111
343.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
167172
195.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
641597
748.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
151444
177.4 IPS |
|
|
Object Detection (SP)
|
100% |
15951
1.27 KIPS |
|
|
Object Detection (HP)
|
100% |
25865
2.05 KIPS |
|
|
Object Detection (Q)
|
86% |
13191
1.06 KIPS |
|
|
Face Detection (SP)
|
100% |
48127
571.9 IPS |
|
|
Face Detection (HP)
|
100% |
68495
813.9 IPS |
|
|
Face Detection (Q)
|
97% |
39656
472.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
80842
622.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
135438
1.04 KIPS |
|
|
Depth Estimation (Q)
|
78% |
60021
479.3 IPS |
|
|
Style Transfer (SP)
|
100% |
304944
392.0 IPS |
|
|
Style Transfer (HP)
|
100% |
979598
1.26 KIPS |
|
|
Style Transfer (Q)
|
98% |
252009
325.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
44329
1.64 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
72102
2.66 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34339
1.27 KIPS |
|
|
Text Classification (SP)
|
100% |
3625
4.84 KIPS |
|
|
Text Classification (HP)
|
100% |
4932
6.58 KIPS |
|
|
Text Classification (Q)
|
97% |
2208
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
6520
112.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6587
113.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2916
54.7 IPS |
