Micro-Star International Co., Ltd. MS-7D86
Geekbench AI Score
5025
Single Precision Score
1689
Half Precision Score
6552
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | bearjett1 |
| Upload Date | November 29 2024 04:11 AM |
| Views | 2 |
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-7D86 |
| Motherboard | Micro-Star International Co., Ltd. MEG Z790 ACE (MS-7D86) |
| Power Plan | Ultimate Performance |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2677
497.9 IPS |
|
|
Image Classification (HP)
|
100% |
567
105.5 IPS |
|
|
Image Classification (Q)
|
99% |
4878
909.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2498
40.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1050
17.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4574
74.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
12605
14.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
5230
6.10 IPS |
|
|
Pose Estimation (Q)
|
95% |
40938
48.0 IPS |
|
|
Object Detection (SP)
|
100% |
3273
259.6 IPS |
|
|
Object Detection (HP)
|
100% |
756
59.9 IPS |
|
|
Object Detection (Q)
|
88% |
2656
212.9 IPS |
|
|
Face Detection (SP)
|
100% |
5516
65.5 IPS |
|
|
Face Detection (HP)
|
100% |
1841
21.9 IPS |
|
|
Face Detection (Q)
|
97% |
5394
64.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
12146
93.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2289
17.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
12021
96.2 IPS |
|
|
Style Transfer (SP)
|
100% |
28500
36.6 IPS |
|
|
Style Transfer (HP)
|
100% |
13241
17.0 IPS |
|
|
Style Transfer (Q)
|
98% |
31326
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4354
160.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2426
89.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5528
204.7 IPS |
|
|
Text Classification (SP)
|
100% |
1920
2.56 KIPS |
|
|
Text Classification (HP)
|
100% |
769
1.03 KIPS |
|
|
Text Classification (Q)
|
97% |
1871
2.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
2334
40.2 IPS |
|
|
Machine Translation (HP)
|
100% |
772
13.3 IPS |
|
|
Machine Translation (Q)
|
60% |
2861
63.8 IPS |
