Micro-Star International Co., Ltd. MS-7D86
Geekbench AI Score
4332
Single Precision Score
1469
Half Precision Score
6374
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Deimorin |
| Upload Date | May 07 2025 02:45 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D86 |
| Motherboard | Micro-Star International Co., Ltd. MEG Z790 ACE MAX (MS-7D86) |
| Power Plan | Ultimative Leistung |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| 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 | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2989
555.9 IPS |
|
|
Image Classification (HP)
|
100% |
499
92.8 IPS |
|
|
Image Classification (Q)
|
99% |
5306
989.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1503
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
837
13.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3175
51.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9611
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
4510
5.26 IPS |
|
|
Pose Estimation (Q)
|
94% |
28151
33.0 IPS |
|
|
Object Detection (SP)
|
100% |
3024
239.8 IPS |
|
|
Object Detection (HP)
|
100% |
641
50.8 IPS |
|
|
Object Detection (Q)
|
86% |
5616
451.4 IPS |
|
|
Face Detection (SP)
|
100% |
9312
110.7 IPS |
|
|
Face Detection (HP)
|
100% |
1544
18.3 IPS |
|
|
Face Detection (Q)
|
97% |
8001
95.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10675
82.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2154
16.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
14429
115.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21002
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
11650
15.0 IPS |
|
|
Style Transfer (Q)
|
98% |
23031
29.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3368
124.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2049
75.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4159
154.0 IPS |
|
|
Text Classification (SP)
|
100% |
1473
1.97 KIPS |
|
|
Text Classification (HP)
|
100% |
735
981.2 IPS |
|
|
Text Classification (Q)
|
97% |
1534
2.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1724
29.7 IPS |
|
|
Machine Translation (HP)
|
100% |
667
11.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2453
49.3 IPS |
