Micro-Star International Co., Ltd. MS-7E07
Geekbench AI Score
4879
Single Precision Score
1742
Half Precision Score
5607
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 02:50 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E07 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z790-A MAX WIFI (MS-7E07) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2646
492.1 IPS |
|
|
Image Classification (HP)
|
100% |
618
115.0 IPS |
|
|
Image Classification (Q)
|
99% |
4586
855.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2468
40.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1276
20.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3864
62.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11516
13.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
5043
5.88 IPS |
|
|
Pose Estimation (Q)
|
95% |
35029
41.1 IPS |
|
|
Object Detection (SP)
|
100% |
3218
255.2 IPS |
|
|
Object Detection (HP)
|
100% |
778
61.7 IPS |
|
|
Object Detection (Q)
|
88% |
2531
202.9 IPS |
|
|
Face Detection (SP)
|
100% |
5112
60.7 IPS |
|
|
Face Detection (HP)
|
100% |
1920
22.8 IPS |
|
|
Face Detection (Q)
|
97% |
5169
61.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11019
84.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2229
17.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
10796
86.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25770
33.1 IPS |
|
|
Style Transfer (HP)
|
100% |
12670
16.3 IPS |
|
|
Style Transfer (Q)
|
98% |
28192
36.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4371
161.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2391
88.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6296
233.1 IPS |
|
|
Text Classification (SP)
|
100% |
2085
2.78 KIPS |
|
|
Text Classification (HP)
|
100% |
800
1.07 KIPS |
|
|
Text Classification (Q)
|
97% |
649
868.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2391
41.2 IPS |
|
|
Machine Translation (HP)
|
100% |
803
13.8 IPS |
|
|
Machine Translation (Q)
|
60% |
3041
67.8 IPS |
