Micro-Star International Co., Ltd. MS-7E07
Geekbench AI Score
2417
Single Precision Score
3454
Half Precision Score
5309
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | vl9invocations |
| Upload Date | October 21 2024 07:28 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 770 (iGPU) |
| 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% |
1616
300.6 IPS |
|
|
Image Classification (HP)
|
100% |
2663
495.2 IPS |
|
|
Image Classification (Q)
|
99% |
3689
688.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2430
39.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3893
63.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4633
75.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4376
5.11 IPS |
|
|
Pose Estimation (HP)
|
99% |
3186
3.72 IPS |
|
|
Pose Estimation (Q)
|
97% |
13101
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1449
115.0 IPS |
|
|
Object Detection (HP)
|
98% |
2331
185.5 IPS |
|
|
Object Detection (Q)
|
90% |
3905
312.2 IPS |
|
|
Face Detection (SP)
|
100% |
5150
61.2 IPS |
|
|
Face Detection (HP)
|
100% |
7861
93.4 IPS |
|
|
Face Detection (Q)
|
100% |
10697
127.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5132
39.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
8489
65.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
11576
90.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11450
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
17733
22.8 IPS |
|
|
Style Transfer (Q)
|
98% |
29764
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2033
75.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3306
122.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6682
247.5 IPS |
|
|
Text Classification (SP)
|
71% |
585
845.7 IPS |
|
|
Text Classification (HP)
|
71% |
752
1.09 KIPS |
|
|
Text Classification (Q)
|
92% |
763
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
762
13.1 IPS |
|
|
Machine Translation (HP)
|
98% |
1070
18.5 IPS |
|
|
Machine Translation (Q)
|
100% |
1084
18.7 IPS |
