Micro-Star International Co., Ltd. MS-7E40
Geekbench AI Score
4747
Single Precision Score
1113
Half Precision Score
6433
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | January 04 2025 11:17 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 245K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E40 |
| Motherboard | Micro-Star International Co., Ltd. MAG B860M MORTAR WIFI (MS-7E40) |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 245K |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2735
508.6 IPS |
|
|
Image Classification (HP)
|
100% |
201
37.4 IPS |
|
|
Image Classification (Q)
|
99% |
4967
926.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2250
36.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
340
5.50 IPS |
|
|
Image Segmentation (Q)
|
98% |
4326
70.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10319
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
7064
8.24 IPS |
|
|
Pose Estimation (Q)
|
95% |
36370
42.6 IPS |
|
|
Object Detection (SP)
|
100% |
2973
235.8 IPS |
|
|
Object Detection (HP)
|
100% |
281
22.3 IPS |
|
|
Object Detection (Q)
|
88% |
2585
207.2 IPS |
|
|
Face Detection (SP)
|
100% |
4795
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
381
4.53 IPS |
|
|
Face Detection (Q)
|
97% |
5088
60.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10596
81.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1297
9.99 IPS |
|
|
Depth Estimation (Q)
|
76% |
11156
89.9 IPS |
|
|
Style Transfer (SP)
|
100% |
23820
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
16411
21.1 IPS |
|
|
Style Transfer (Q)
|
98% |
25549
32.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4399
162.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3118
115.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6149
227.7 IPS |
|
|
Text Classification (SP)
|
100% |
2111
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
887
1.18 KIPS |
|
|
Text Classification (Q)
|
97% |
1947
2.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
2741
47.2 IPS |
|
|
Machine Translation (HP)
|
100% |
961
16.6 IPS |
|
|
Machine Translation (Q)
|
60% |
3463
77.3 IPS |
