Micro-Star International Co., Ltd. MS-7D89
Geekbench AI Score
5233
Single Precision Score
5225
Half Precision Score
15485
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Razzer85 |
| Upload Date | August 18 2024 07:17 AM |
| Views | 18 |
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 | Ausbalanciert |
| 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% |
3497
650.3 IPS |
|
|
Image Classification (HP)
|
100% |
3311
615.7 IPS |
|
|
Image Classification (Q)
|
100% |
9351
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4177
67.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4237
68.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9127
148.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8836
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
8913
10.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
33533
39.3 IPS |
|
|
Object Detection (SP)
|
100% |
3054
242.3 IPS |
|
|
Object Detection (HP)
|
100% |
3044
241.5 IPS |
|
|
Object Detection (Q)
|
88% |
9975
799.6 IPS |
|
|
Face Detection (SP)
|
100% |
10173
120.9 IPS |
|
|
Face Detection (HP)
|
100% |
10116
120.2 IPS |
|
|
Face Detection (Q)
|
100% |
25297
300.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9234
71.1 IPS |
|
|
Depth Estimation (HP)
|
100% |
9457
72.9 IPS |
|
|
Depth Estimation (Q)
|
80% |
27672
219.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24838
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
24317
31.3 IPS |
|
|
Style Transfer (Q)
|
98% |
81017
104.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4362
161.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4341
160.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16986
629.1 IPS |
|
|
Text Classification (SP)
|
100% |
1423
1.90 KIPS |
|
|
Text Classification (HP)
|
100% |
1474
1.97 KIPS |
|
|
Text Classification (Q)
|
92% |
4688
6.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2698
46.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2680
46.2 IPS |
|
|
Machine Translation (Q)
|
85% |
6152
107.6 IPS |
