Micro-Star International Co., Ltd. MS-7D89
Geekbench AI Score
5161
Single Precision Score
5072
Half Precision Score
15835
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Razzer85 |
| Upload Date | August 18 2024 07:34 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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-7D89 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z790 CARBON WIFI (MS-7D89) |
| Power Plan | Ultimative Leistung |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) i9-14900KS |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3368
626.4 IPS |
|
|
Image Classification (HP)
|
100% |
3377
627.9 IPS |
|
|
Image Classification (Q)
|
100% |
9471
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4041
65.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4037
65.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
9260
150.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8803
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
8641
10.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
34139
40.0 IPS |
|
|
Object Detection (SP)
|
100% |
2653
210.4 IPS |
|
|
Object Detection (HP)
|
100% |
2681
212.6 IPS |
|
|
Object Detection (Q)
|
88% |
10059
806.3 IPS |
|
|
Face Detection (SP)
|
100% |
10263
122.0 IPS |
|
|
Face Detection (HP)
|
100% |
10287
122.2 IPS |
|
|
Face Detection (Q)
|
100% |
25616
304.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9433
72.7 IPS |
|
|
Depth Estimation (HP)
|
100% |
9535
73.5 IPS |
|
|
Depth Estimation (Q)
|
80% |
27671
219.2 IPS |
|
|
Style Transfer (SP)
|
100% |
26086
33.5 IPS |
|
|
Style Transfer (HP)
|
100% |
25603
32.9 IPS |
|
|
Style Transfer (Q)
|
98% |
95305
122.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4484
165.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4480
165.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17229
638.0 IPS |
|
|
Text Classification (SP)
|
100% |
1510
2.02 KIPS |
|
|
Text Classification (HP)
|
100% |
1309
1.75 KIPS |
|
|
Text Classification (Q)
|
92% |
4623
6.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2471
42.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2423
41.7 IPS |
|
|
Machine Translation (Q)
|
85% |
6118
107.0 IPS |
