Micro-Star International Co., Ltd. MS-7E40
Geekbench AI Score
4843
Single Precision Score
4831
Half Precision Score
12321
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | January 04 2025 11:24 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
3359
624.6 IPS |
|
|
Image Classification (HP)
|
100% |
3377
628.0 IPS |
|
|
Image Classification (Q)
|
100% |
8108
1.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3206
52.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3181
51.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7012
113.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6186
7.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
6189
7.22 IPS |
|
|
Pose Estimation (Q)
|
96% |
23769
27.8 IPS |
|
|
Object Detection (SP)
|
100% |
3132
248.4 IPS |
|
|
Object Detection (HP)
|
100% |
3136
248.8 IPS |
|
|
Object Detection (Q)
|
88% |
8562
686.3 IPS |
|
|
Face Detection (SP)
|
100% |
9216
109.5 IPS |
|
|
Face Detection (HP)
|
100% |
9187
109.2 IPS |
|
|
Face Detection (Q)
|
100% |
21243
252.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8178
63.0 IPS |
|
|
Depth Estimation (HP)
|
100% |
8201
63.2 IPS |
|
|
Depth Estimation (Q)
|
80% |
22330
176.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18539
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
18614
23.9 IPS |
|
|
Style Transfer (Q)
|
98% |
67141
86.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3943
145.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3953
146.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13116
485.7 IPS |
|
|
Text Classification (SP)
|
100% |
2189
2.92 KIPS |
|
|
Text Classification (HP)
|
100% |
2212
2.95 KIPS |
|
|
Text Classification (Q)
|
92% |
4727
6.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2822
48.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2710
46.7 IPS |
|
|
Machine Translation (Q)
|
85% |
3531
61.8 IPS |
