Micro-Star International Co., Ltd. MS-7D91
Geekbench AI Score
4527
Single Precision Score
858
Half Precision Score
5525
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | BlackMagic |
| Upload Date | February 13 2025 12:53 AM |
| Views | 6 |
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 | Balanced |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2526
469.7 IPS |
|
|
Image Classification (HP)
|
100% |
152
28.3 IPS |
|
|
Image Classification (Q)
|
99% |
4444
828.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2166
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
288
4.67 IPS |
|
|
Image Segmentation (Q)
|
98% |
3322
54.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11451
13.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
4902
5.72 IPS |
|
|
Pose Estimation (Q)
|
95% |
35434
41.5 IPS |
|
|
Object Detection (SP)
|
100% |
2845
225.6 IPS |
|
|
Object Detection (HP)
|
100% |
228
18.1 IPS |
|
|
Object Detection (Q)
|
88% |
2426
194.4 IPS |
|
|
Face Detection (SP)
|
100% |
5328
63.3 IPS |
|
|
Face Detection (HP)
|
100% |
337
4.00 IPS |
|
|
Face Detection (Q)
|
97% |
5739
68.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10814
83.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1018
7.84 IPS |
|
|
Depth Estimation (Q)
|
76% |
12474
100.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25737
33.1 IPS |
|
|
Style Transfer (HP)
|
100% |
12221
15.7 IPS |
|
|
Style Transfer (Q)
|
98% |
30307
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3826
141.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2142
79.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4986
184.6 IPS |
|
|
Text Classification (SP)
|
100% |
1681
2.24 KIPS |
|
|
Text Classification (HP)
|
100% |
680
907.6 IPS |
|
|
Text Classification (Q)
|
97% |
668
895.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2128
36.6 IPS |
|
|
Machine Translation (HP)
|
100% |
725
12.5 IPS |
|
|
Machine Translation (Q)
|
60% |
2895
64.6 IPS |
