Micro-Star International Co., Ltd. MS-7D86
Geekbench AI Score
1760
Single Precision Score
1777
Half Precision Score
1157
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | superben_gg |
| Upload Date | August 17 2024 03:43 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 770 |
| 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 | Balanced |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
725
134.8 IPS |
|
|
Image Classification (HP)
|
100% |
736
136.9 IPS |
|
|
Image Classification (Q)
|
100% |
588
109.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1094
17.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1226
19.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
828
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5716
6.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
6114
7.13 IPS |
|
|
Pose Estimation (Q)
|
96% |
3798
4.45 IPS |
|
|
Object Detection (SP)
|
100% |
814
64.6 IPS |
|
|
Object Detection (HP)
|
98% |
700
55.7 IPS |
|
|
Object Detection (Q)
|
89% |
673
53.8 IPS |
|
|
Face Detection (SP)
|
100% |
1541
18.3 IPS |
|
|
Face Detection (HP)
|
100% |
1652
19.6 IPS |
|
|
Face Detection (Q)
|
97% |
1095
13.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3183
24.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3511
27.1 IPS |
|
|
Depth Estimation (Q)
|
73% |
2292
18.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11492
14.8 IPS |
|
|
Style Transfer (HP)
|
100% |
15565
20.0 IPS |
|
|
Style Transfer (Q)
|
98% |
8568
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1911
70.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2728
100.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
986
36.5 IPS |
|
|
Text Classification (SP)
|
100% |
927
1.24 KIPS |
|
|
Text Classification (HP)
|
100% |
440
587.8 IPS |
|
|
Text Classification (Q)
|
97% |
467
625.9 IPS |
|
|
Machine Translation (SP)
|
100% |
778
13.4 IPS |
|
|
Machine Translation (HP)
|
100% |
754
13.0 IPS |
|
|
Machine Translation (Q)
|
60% |
351
7.84 IPS |
