Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
28809
Single Precision Score
51149
Half Precision Score
22035
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 17 2025 10:16 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| 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(R) Core(TM) 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% |
10806
2.01 KIPS |
|
|
Image Classification (HP)
|
100% |
19844
3.69 KIPS |
|
|
Image Classification (Q)
|
100% |
9850
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22267
361.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
34314
556.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
20050
326.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
164627
192.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
470500
549.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
137822
161.4 IPS |
|
|
Object Detection (SP)
|
100% |
15165
1.20 KIPS |
|
|
Object Detection (HP)
|
100% |
25208
2.00 KIPS |
|
|
Object Detection (Q)
|
83% |
12384
1.00 KIPS |
|
|
Face Detection (SP)
|
100% |
42116
500.4 IPS |
|
|
Face Detection (HP)
|
100% |
63456
754.0 IPS |
|
|
Face Detection (Q)
|
97% |
35771
426.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
67620
521.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
125152
964.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
53207
424.7 IPS |
|
|
Style Transfer (SP)
|
100% |
229946
295.6 IPS |
|
|
Style Transfer (HP)
|
100% |
776385
998.1 IPS |
|
|
Style Transfer (Q)
|
98% |
194948
251.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40050
1.48 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
74709
2.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31476
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3837
5.12 KIPS |
|
|
Text Classification (HP)
|
100% |
4887
6.52 KIPS |
|
|
Text Classification (Q)
|
97% |
2288
3.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
6516
112.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6743
116.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2997
56.2 IPS |
