Micro-Star International Co., Ltd. MS-7E07
Geekbench AI Score
19697
Single Precision Score
32258
Half Precision Score
15175
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | vl9invocations |
| Upload Date | October 21 2024 07:22 PM |
| Views | 26 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E07 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z790-A MAX WIFI (MS-7E07) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700K |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8512
1.58 KIPS |
|
|
Image Classification (HP)
|
99% |
13335
2.49 KIPS |
|
|
Image Classification (Q)
|
100% |
7509
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12528
203.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
15926
258.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
11499
187.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
108012
126.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
336829
393.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
97321
114.0 IPS |
|
|
Object Detection (SP)
|
100% |
9820
778.9 IPS |
|
|
Object Detection (HP)
|
100% |
15393
1.22 KIPS |
|
|
Object Detection (Q)
|
89% |
8173
654.5 IPS |
|
|
Face Detection (SP)
|
100% |
21329
253.4 IPS |
|
|
Face Detection (HP)
|
100% |
32286
383.6 IPS |
|
|
Face Detection (Q)
|
97% |
17491
208.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
46086
355.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
88730
683.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
37375
300.3 IPS |
|
|
Style Transfer (SP)
|
100% |
190857
245.4 IPS |
|
|
Style Transfer (HP)
|
100% |
465250
598.1 IPS |
|
|
Style Transfer (Q)
|
98% |
173059
223.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33199
1.23 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
51711
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24703
914.7 IPS |
|
|
Text Classification (SP)
|
100% |
3461
4.62 KIPS |
|
|
Text Classification (HP)
|
99% |
4231
5.65 KIPS |
|
|
Text Classification (Q)
|
97% |
2114
2.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3607
62.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3800
65.5 IPS |
|
|
Machine Translation (Q)
|
60% |
1596
35.6 IPS |
