Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
7047
Single Precision Score
5545
Half Precision Score
5108
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Surinder |
| Upload Date | May 08 2025 07:10 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1650 |
| 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 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2981
554.4 IPS |
|
|
Image Classification (HP)
|
100% |
2699
501.9 IPS |
|
|
Image Classification (Q)
|
99% |
2495
465.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4971
80.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3978
64.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4166
67.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
25495
29.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
16681
19.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
22776
26.7 IPS |
|
|
Object Detection (SP)
|
100% |
3211
254.7 IPS |
|
|
Object Detection (HP)
|
100% |
3153
250.1 IPS |
|
|
Object Detection (Q)
|
83% |
2755
222.6 IPS |
|
|
Face Detection (SP)
|
100% |
7314
86.9 IPS |
|
|
Face Detection (HP)
|
100% |
6046
71.8 IPS |
|
|
Face Detection (Q)
|
97% |
6480
77.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
15196
117.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
11512
88.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
11743
93.7 IPS |
|
|
Style Transfer (SP)
|
100% |
46301
59.5 IPS |
|
|
Style Transfer (HP)
|
100% |
31851
40.9 IPS |
|
|
Style Transfer (Q)
|
98% |
40373
52.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9801
361.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7568
279.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6334
234.5 IPS |
|
|
Text Classification (SP)
|
100% |
1729
2.31 KIPS |
|
|
Text Classification (HP)
|
100% |
983
1.31 KIPS |
|
|
Text Classification (Q)
|
97% |
910
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2855
49.2 IPS |
|
|
Machine Translation (HP)
|
98% |
2952
51.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1048
19.6 IPS |
