Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
14883
Single Precision Score
25960
Half Precision Score
10080
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | all4rs |
| Upload Date | January 18 2025 03:07 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E06 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z790-P WIFI (MS-7E06) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| Topology | 1 Processor, 24 Cores |
| 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% |
6749
1.26 KIPS |
|
|
Image Classification (HP)
|
99% |
11579
2.16 KIPS |
|
|
Image Classification (Q)
|
99% |
4988
930.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
9406
152.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
14366
232.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
7655
124.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
72064
84.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
184695
215.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
59356
69.5 IPS |
|
|
Object Detection (SP)
|
100% |
7429
589.3 IPS |
|
|
Object Detection (HP)
|
100% |
14244
1.13 KIPS |
|
|
Object Detection (Q)
|
84% |
5817
469.2 IPS |
|
|
Face Detection (SP)
|
100% |
17169
204.0 IPS |
|
|
Face Detection (HP)
|
100% |
28197
335.0 IPS |
|
|
Face Detection (Q)
|
97% |
13657
162.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
34526
266.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
69969
540.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
24002
192.1 IPS |
|
|
Style Transfer (SP)
|
100% |
120897
155.4 IPS |
|
|
Style Transfer (HP)
|
100% |
308749
396.9 IPS |
|
|
Style Transfer (Q)
|
98% |
96577
124.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22675
837.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38510
1.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13793
510.7 IPS |
|
|
Text Classification (SP)
|
100% |
2785
3.72 KIPS |
|
|
Text Classification (HP)
|
99% |
3830
5.11 KIPS |
|
|
Text Classification (Q)
|
97% |
1363
1.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3469
59.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3536
60.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1381
25.9 IPS |
