Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
5978
Single Precision Score
1841
Half Precision Score
7443
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | all4rs |
| Upload Date | January 18 2025 02:02 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E06 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z790-P WIFI (MS-7E06) |
| Power Plan | System Mechanic - Ultra Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4785
889.9 IPS |
|
|
Image Classification (HP)
|
100% |
482
89.6 IPS |
|
|
Image Classification (Q)
|
99% |
7381
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2420
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1349
21.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4026
65.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11589
13.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
4715
5.50 IPS |
|
|
Pose Estimation (Q)
|
94% |
36241
42.5 IPS |
|
|
Object Detection (SP)
|
100% |
4522
358.7 IPS |
|
|
Object Detection (HP)
|
100% |
944
74.9 IPS |
|
|
Object Detection (Q)
|
86% |
7232
581.3 IPS |
|
|
Face Detection (SP)
|
100% |
12928
153.6 IPS |
|
|
Face Detection (HP)
|
100% |
2397
28.5 IPS |
|
|
Face Detection (Q)
|
97% |
9118
108.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
14199
109.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2411
18.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
16891
134.8 IPS |
|
|
Style Transfer (SP)
|
100% |
26012
33.4 IPS |
|
|
Style Transfer (HP)
|
100% |
11973
15.4 IPS |
|
|
Style Transfer (Q)
|
98% |
28526
36.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4672
172.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2495
92.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6205
229.8 IPS |
|
|
Text Classification (SP)
|
100% |
1903
2.54 KIPS |
|
|
Text Classification (HP)
|
100% |
892
1.19 KIPS |
|
|
Text Classification (Q)
|
97% |
680
910.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2263
39.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1008
17.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3616
72.7 IPS |
