PowerSpec - G478 Micro-Star International Co., Ltd. MS-7D91
Geekbench AI Score
4882
Single Precision Score
918
Half Precision Score
6831
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | BlackMagic |
| Upload Date | May 23 2025 01:01 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D91 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z790 EDGE WIFI (MS-7D91) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2818
524.0 IPS |
|
|
Image Classification (HP)
|
100% |
169
31.4 IPS |
|
|
Image Classification (Q)
|
99% |
4900
913.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2097
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
324
5.25 IPS |
|
|
Image Segmentation (Q)
|
98% |
4233
68.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12775
14.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
5093
5.94 IPS |
|
|
Pose Estimation (Q)
|
95% |
37918
44.4 IPS |
|
|
Object Detection (SP)
|
100% |
3074
243.8 IPS |
|
|
Object Detection (HP)
|
100% |
239
18.9 IPS |
|
|
Object Detection (Q)
|
88% |
2737
219.4 IPS |
|
|
Face Detection (SP)
|
100% |
5350
63.6 IPS |
|
|
Face Detection (HP)
|
100% |
356
4.23 IPS |
|
|
Face Detection (Q)
|
97% |
6347
75.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11586
89.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1079
8.32 IPS |
|
|
Depth Estimation (Q)
|
76% |
12518
100.9 IPS |
|
|
Style Transfer (SP)
|
100% |
28917
37.2 IPS |
|
|
Style Transfer (HP)
|
100% |
12632
16.2 IPS |
|
|
Style Transfer (Q)
|
98% |
31934
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4339
160.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2389
88.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5986
221.7 IPS |
|
|
Text Classification (SP)
|
100% |
1844
2.46 KIPS |
|
|
Text Classification (HP)
|
100% |
698
931.3 IPS |
|
|
Text Classification (Q)
|
97% |
1938
2.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
2312
39.8 IPS |
|
|
Machine Translation (HP)
|
100% |
792
13.6 IPS |
|
|
Machine Translation (Q)
|
60% |
3493
77.9 IPS |
