Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
16497
Single Precision Score
27976
Half Precision Score
12645
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | kll |
| Upload Date | August 19 2024 11:14 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E06 |
| Motherboard | Micro-Star International Co., Ltd. Z790 GAMING PLUS WIFI (MS-7E06) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6687
1.24 KIPS |
|
|
Image Classification (HP)
|
99% |
12228
2.28 KIPS |
|
|
Image Classification (Q)
|
100% |
5833
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11266
182.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
15103
244.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
10017
162.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
82392
96.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
224538
262.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
73104
85.6 IPS |
|
|
Object Detection (SP)
|
100% |
8308
659.0 IPS |
|
|
Object Detection (HP)
|
100% |
14109
1.12 KIPS |
|
|
Object Detection (Q)
|
89% |
7346
588.0 IPS |
|
|
Face Detection (SP)
|
100% |
17797
211.5 IPS |
|
|
Face Detection (HP)
|
100% |
28170
334.7 IPS |
|
|
Face Detection (Q)
|
97% |
14501
172.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
36043
277.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
72954
562.1 IPS |
|
|
Depth Estimation (Q)
|
74% |
29682
241.3 IPS |
|
|
Style Transfer (SP)
|
100% |
134206
172.5 IPS |
|
|
Style Transfer (HP)
|
100% |
346429
445.3 IPS |
|
|
Style Transfer (Q)
|
98% |
119883
154.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28191
1.04 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
45793
1.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20623
763.6 IPS |
|
|
Text Classification (SP)
|
100% |
3525
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
4212
5.62 KIPS |
|
|
Text Classification (Q)
|
97% |
2111
2.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3385
58.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3656
63.0 IPS |
|
|
Machine Translation (Q)
|
60% |
1483
33.1 IPS |
