Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
33953
Single Precision Score
57835
Half Precision Score
26021
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 25 2025 05:29 PM |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13807
2.57 KIPS |
|
|
Image Classification (HP)
|
100% |
21207
3.94 KIPS |
|
|
Image Classification (Q)
|
100% |
12286
2.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25020
405.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
35503
575.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
22474
365.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
183163
213.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
708744
827.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
164474
192.7 IPS |
|
|
Object Detection (SP)
|
100% |
17387
1.38 KIPS |
|
|
Object Detection (HP)
|
100% |
26213
2.08 KIPS |
|
|
Object Detection (Q)
|
86% |
14379
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
50216
596.7 IPS |
|
|
Face Detection (HP)
|
100% |
70862
842.0 IPS |
|
|
Face Detection (Q)
|
97% |
42077
501.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
88209
679.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
155091
1.19 KIPS |
|
|
Depth Estimation (Q)
|
78% |
66998
535.0 IPS |
|
|
Style Transfer (SP)
|
100% |
326513
419.7 IPS |
|
|
Style Transfer (HP)
|
100% |
1036425
1.33 KIPS |
|
|
Style Transfer (Q)
|
98% |
272813
351.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
48135
1.78 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
79565
2.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37384
1.38 KIPS |
|
|
Text Classification (SP)
|
100% |
3929
5.24 KIPS |
|
|
Text Classification (HP)
|
100% |
4922
6.57 KIPS |
|
|
Text Classification (Q)
|
97% |
2480
3.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
6768
116.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6711
115.6 IPS |
|
|
Machine Translation (Q)
|
70% |
3057
57.3 IPS |
