Micro-Star International Co., Ltd. MS-7D91
Geekbench AI Score
5965
Single Precision Score
1738
Half Precision Score
9032
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 23 2025 12:13 PM |
| Views | 3 |
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% |
5034
936.2 IPS |
|
|
Image Classification (HP)
|
100% |
647
120.4 IPS |
|
|
Image Classification (Q)
|
99% |
7871
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2238
36.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1181
19.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4670
75.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11799
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
4950
5.78 IPS |
|
|
Pose Estimation (Q)
|
94% |
36816
43.2 IPS |
|
|
Object Detection (SP)
|
100% |
4476
355.1 IPS |
|
|
Object Detection (HP)
|
100% |
802
63.6 IPS |
|
|
Object Detection (Q)
|
86% |
8904
715.6 IPS |
|
|
Face Detection (SP)
|
100% |
12866
152.9 IPS |
|
|
Face Detection (HP)
|
100% |
1798
21.4 IPS |
|
|
Face Detection (Q)
|
97% |
13285
158.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13701
105.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2221
17.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
19971
159.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25913
33.3 IPS |
|
|
Style Transfer (HP)
|
100% |
12256
15.8 IPS |
|
|
Style Transfer (Q)
|
98% |
26234
33.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4711
174.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2251
83.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5078
188.0 IPS |
|
|
Text Classification (SP)
|
100% |
1812
2.42 KIPS |
|
|
Text Classification (HP)
|
100% |
789
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1876
2.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
2459
42.4 IPS |
|
|
Machine Translation (HP)
|
100% |
958
16.5 IPS |
|
|
Machine Translation (Q)
|
65% |
4525
90.9 IPS |
