Micro-Star International Co., Ltd. MS-7D91
Geekbench AI Score
6040
Single Precision Score
1766
Half Precision Score
9116
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 23 2025 12:05 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D91 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z790 TOMAHAWK WIFI (MS-7D91) |
| Power Plan | UoA-Power Plan-Peak-System on and monitor on |
| 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% |
5050
939.2 IPS |
|
|
Image Classification (HP)
|
100% |
624
116.0 IPS |
|
|
Image Classification (Q)
|
99% |
7950
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2504
40.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1121
18.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4644
75.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11804
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
5014
5.85 IPS |
|
|
Pose Estimation (Q)
|
94% |
36347
42.6 IPS |
|
|
Object Detection (SP)
|
100% |
4503
357.2 IPS |
|
|
Object Detection (HP)
|
100% |
808
64.1 IPS |
|
|
Object Detection (Q)
|
86% |
8842
710.6 IPS |
|
|
Face Detection (SP)
|
100% |
12712
151.0 IPS |
|
|
Face Detection (HP)
|
100% |
1959
23.3 IPS |
|
|
Face Detection (Q)
|
97% |
13315
158.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13842
106.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2205
17.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
19763
157.7 IPS |
|
|
Style Transfer (SP)
|
100% |
26423
34.0 IPS |
|
|
Style Transfer (HP)
|
100% |
12441
16.0 IPS |
|
|
Style Transfer (Q)
|
98% |
26283
33.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4355
160.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2299
84.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5774
213.8 IPS |
|
|
Text Classification (SP)
|
100% |
1931
2.58 KIPS |
|
|
Text Classification (HP)
|
100% |
884
1.18 KIPS |
|
|
Text Classification (Q)
|
97% |
1894
2.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
2460
42.4 IPS |
|
|
Machine Translation (HP)
|
100% |
954
16.4 IPS |
|
|
Machine Translation (Q)
|
65% |
4420
88.8 IPS |
