Micro-Star International Co., Ltd. MS-7D28
Geekbench AI Score
4636
Single Precision Score
1896
Half Precision Score
5805
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Adam33k |
| Upload Date | September 10 2024 05:49 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-14600K |
| 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 Core i5-14600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2675
497.6 IPS |
|
|
Image Classification (HP)
|
100% |
639
118.9 IPS |
|
|
Image Classification (Q)
|
99% |
4711
878.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2464
40.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1433
23.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3676
59.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8502
9.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
4916
5.74 IPS |
|
|
Pose Estimation (Q)
|
95% |
29383
34.4 IPS |
|
|
Object Detection (SP)
|
100% |
3059
242.6 IPS |
|
|
Object Detection (HP)
|
100% |
896
71.0 IPS |
|
|
Object Detection (Q)
|
88% |
2757
221.0 IPS |
|
|
Face Detection (SP)
|
100% |
5358
63.7 IPS |
|
|
Face Detection (HP)
|
100% |
2223
26.4 IPS |
|
|
Face Detection (Q)
|
97% |
6340
75.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9964
76.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2674
20.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
11460
91.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20796
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
12229
15.7 IPS |
|
|
Style Transfer (Q)
|
98% |
31468
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3864
142.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2528
93.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6033
223.4 IPS |
|
|
Text Classification (SP)
|
100% |
2219
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
901
1.20 KIPS |
|
|
Text Classification (Q)
|
97% |
743
994.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2811
48.4 IPS |
|
|
Machine Translation (HP)
|
100% |
900
15.5 IPS |
|
|
Machine Translation (Q)
|
60% |
3027
67.5 IPS |
