Micro-Star International Co., Ltd. MS-7D28
Geekbench AI Score
4822
Single Precision Score
2054
Half Precision Score
6045
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Adam33k |
| Upload Date | October 11 2024 08:22 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900KS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D28 |
| Motherboard | Micro-Star International Co., Ltd. MEG Z690 UNIFY-X (MS-7D28) |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) i9-14900KS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2988
555.8 IPS |
|
|
Image Classification (HP)
|
100% |
717
133.3 IPS |
|
|
Image Classification (Q)
|
99% |
5551
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2326
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1410
22.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3292
53.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7084
8.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
5472
6.39 IPS |
|
|
Pose Estimation (Q)
|
95% |
28094
32.9 IPS |
|
|
Object Detection (SP)
|
100% |
3730
295.9 IPS |
|
|
Object Detection (HP)
|
100% |
962
76.3 IPS |
|
|
Object Detection (Q)
|
88% |
2919
234.0 IPS |
|
|
Face Detection (SP)
|
100% |
6159
73.2 IPS |
|
|
Face Detection (HP)
|
100% |
2318
27.5 IPS |
|
|
Face Detection (Q)
|
97% |
6144
73.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9456
72.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2730
21.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
12649
101.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20169
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
14282
18.4 IPS |
|
|
Style Transfer (Q)
|
98% |
30339
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3737
138.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2876
106.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6178
228.8 IPS |
|
|
Text Classification (SP)
|
100% |
2570
3.43 KIPS |
|
|
Text Classification (HP)
|
100% |
1019
1.36 KIPS |
|
|
Text Classification (Q)
|
97% |
794
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3287
56.6 IPS |
|
|
Machine Translation (HP)
|
100% |
949
16.3 IPS |
|
|
Machine Translation (Q)
|
60% |
3765
84.0 IPS |
