Micro-Star International Co., Ltd. MS-7E20
Geekbench AI Score
6701
Single Precision Score
2432
Half Precision Score
10123
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 23 2025 12:44 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E20 |
| Motherboard | Micro-Star International Co., Ltd. MEG Z890 UNIFY-X (MS-7E20) |
| 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% |
4894
910.2 IPS |
|
|
Image Classification (HP)
|
100% |
818
152.1 IPS |
|
|
Image Classification (Q)
|
99% |
9381
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2770
44.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1502
24.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4321
70.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
14314
16.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
7893
9.21 IPS |
|
|
Pose Estimation (Q)
|
94% |
46144
54.1 IPS |
|
|
Object Detection (SP)
|
100% |
4740
376.0 IPS |
|
|
Object Detection (HP)
|
100% |
1051
83.4 IPS |
|
|
Object Detection (Q)
|
86% |
10552
848.1 IPS |
|
|
Face Detection (SP)
|
100% |
12541
149.0 IPS |
|
|
Face Detection (HP)
|
100% |
2514
29.9 IPS |
|
|
Face Detection (Q)
|
97% |
13213
157.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
15796
121.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3367
25.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
24173
192.9 IPS |
|
|
Style Transfer (SP)
|
100% |
32897
42.3 IPS |
|
|
Style Transfer (HP)
|
100% |
19934
25.6 IPS |
|
|
Style Transfer (Q)
|
98% |
33644
43.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5057
186.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3653
134.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6609
244.7 IPS |
|
|
Text Classification (SP)
|
100% |
2014
2.69 KIPS |
|
|
Text Classification (HP)
|
100% |
999
1.33 KIPS |
|
|
Text Classification (Q)
|
97% |
1810
2.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
2994
51.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1155
19.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4457
89.6 IPS |
