Micro-Star International Co., Ltd. MS-7D91
Geekbench AI Score
5989
Single Precision Score
1764
Half Precision Score
9326
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 23 2025 12:08 PM |
| Views | 4 |
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% |
4908
912.8 IPS |
|
|
Image Classification (HP)
|
100% |
595
110.7 IPS |
|
|
Image Classification (Q)
|
99% |
8032
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2509
40.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1291
20.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4613
75.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11809
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
5013
5.85 IPS |
|
|
Pose Estimation (Q)
|
94% |
37624
44.1 IPS |
|
|
Object Detection (SP)
|
100% |
4563
362.0 IPS |
|
|
Object Detection (HP)
|
100% |
776
61.5 IPS |
|
|
Object Detection (Q)
|
86% |
9148
735.2 IPS |
|
|
Face Detection (SP)
|
100% |
13068
155.3 IPS |
|
|
Face Detection (HP)
|
100% |
1892
22.5 IPS |
|
|
Face Detection (Q)
|
97% |
13137
156.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13716
105.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2276
17.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
19548
156.0 IPS |
|
|
Style Transfer (SP)
|
100% |
26509
34.1 IPS |
|
|
Style Transfer (HP)
|
100% |
12363
15.9 IPS |
|
|
Style Transfer (Q)
|
98% |
28202
36.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4103
151.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2339
86.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6257
231.7 IPS |
|
|
Text Classification (SP)
|
100% |
1865
2.49 KIPS |
|
|
Text Classification (HP)
|
100% |
853
1.14 KIPS |
|
|
Text Classification (Q)
|
97% |
1917
2.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2463
42.4 IPS |
|
|
Machine Translation (HP)
|
100% |
924
15.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4495
90.3 IPS |
