Micro-Star International Co., Ltd. MS-7E41
Geekbench AI Score
30726
Single Precision Score
52091
Half Precision Score
23479
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | October 07 2025 02:56 PM |
| Views | 4 |
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-7E41 |
| Motherboard | Micro-Star International Co., Ltd. B860 GAMING PLUS WIFI (MS-7E41) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12643
2.35 KIPS |
|
|
Image Classification (HP)
|
100% |
20719
3.85 KIPS |
|
|
Image Classification (Q)
|
100% |
11434
2.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19941
323.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
26896
436.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
18109
294.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
171523
200.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
629352
734.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
154597
181.1 IPS |
|
|
Object Detection (SP)
|
100% |
15944
1.26 KIPS |
|
|
Object Detection (HP)
|
100% |
25004
1.98 KIPS |
|
|
Object Detection (Q)
|
86% |
12950
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
44248
525.8 IPS |
|
|
Face Detection (HP)
|
100% |
60243
715.8 IPS |
|
|
Face Detection (Q)
|
97% |
37066
441.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
81423
627.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
138865
1.07 KIPS |
|
|
Depth Estimation (Q)
|
78% |
62320
497.6 IPS |
|
|
Style Transfer (SP)
|
100% |
307556
395.4 IPS |
|
|
Style Transfer (HP)
|
100% |
956825
1.23 KIPS |
|
|
Style Transfer (Q)
|
98% |
255694
329.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45194
1.67 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
73360
2.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34612
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
3819
5.10 KIPS |
|
|
Text Classification (HP)
|
100% |
5012
6.69 KIPS |
|
|
Text Classification (Q)
|
97% |
2262
3.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
5688
98.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5700
98.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2656
49.8 IPS |
