Micro-Star International Co., Ltd. MS-7D91
Geekbench AI Score
5990
Single Precision Score
1730
Half Precision Score
9232
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 23 2025 12:15 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% |
4851
902.1 IPS |
|
|
Image Classification (HP)
|
100% |
623
115.8 IPS |
|
|
Image Classification (Q)
|
99% |
7677
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2476
40.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1128
18.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4674
76.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11781
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
4995
5.83 IPS |
|
|
Pose Estimation (Q)
|
94% |
37557
44.0 IPS |
|
|
Object Detection (SP)
|
100% |
4507
357.5 IPS |
|
|
Object Detection (HP)
|
100% |
764
60.6 IPS |
|
|
Object Detection (Q)
|
86% |
8835
710.1 IPS |
|
|
Face Detection (SP)
|
100% |
12771
151.7 IPS |
|
|
Face Detection (HP)
|
100% |
1894
22.5 IPS |
|
|
Face Detection (Q)
|
97% |
13382
159.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13741
105.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2266
17.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
19587
156.3 IPS |
|
|
Style Transfer (SP)
|
100% |
26397
33.9 IPS |
|
|
Style Transfer (HP)
|
100% |
12368
15.9 IPS |
|
|
Style Transfer (Q)
|
98% |
28104
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4156
153.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2307
85.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6093
225.6 IPS |
|
|
Text Classification (SP)
|
100% |
1944
2.59 KIPS |
|
|
Text Classification (HP)
|
100% |
778
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
1889
2.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
2492
42.9 IPS |
|
|
Machine Translation (HP)
|
100% |
944
16.3 IPS |
|
|
Machine Translation (Q)
|
65% |
4459
89.6 IPS |
