PowerSpec - G478 Micro-Star International Co., Ltd. MS-7D91
Geekbench AI Score
6168
Single Precision Score
1892
Half Precision Score
9330
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | BlackMagic |
| Upload Date | May 23 2025 01:19 AM |
| Views | 15 |
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-7D91 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z790 EDGE WIFI (MS-7D91) |
| Power Plan | Ultimate 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5054
939.9 IPS |
|
|
Image Classification (HP)
|
100% |
620
115.4 IPS |
|
|
Image Classification (Q)
|
99% |
7968
1.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1593
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1406
22.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4470
72.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
12158
14.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
4985
5.82 IPS |
|
|
Pose Estimation (Q)
|
94% |
38076
44.6 IPS |
|
|
Object Detection (SP)
|
100% |
4866
386.0 IPS |
|
|
Object Detection (HP)
|
100% |
1028
81.5 IPS |
|
|
Object Detection (Q)
|
86% |
9250
743.4 IPS |
|
|
Face Detection (SP)
|
100% |
13261
157.6 IPS |
|
|
Face Detection (HP)
|
100% |
2160
25.7 IPS |
|
|
Face Detection (Q)
|
97% |
12694
151.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13790
106.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2117
16.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
20989
167.5 IPS |
|
|
Style Transfer (SP)
|
100% |
30009
38.6 IPS |
|
|
Style Transfer (HP)
|
100% |
12859
16.5 IPS |
|
|
Style Transfer (Q)
|
98% |
32021
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4501
166.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2549
94.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5992
221.9 IPS |
|
|
Text Classification (SP)
|
100% |
2130
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
906
1.21 KIPS |
|
|
Text Classification (Q)
|
97% |
1779
2.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3181
54.8 IPS |
|
|
Machine Translation (HP)
|
100% |
973
16.8 IPS |
|
|
Machine Translation (Q)
|
65% |
4385
88.1 IPS |
