Micro-Star International Co., Ltd. MS-7D25
Geekbench AI Score
4968
Single Precision Score
1830
Half Precision Score
6072
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | GaborP |
| Upload Date | October 03 2024 02:48 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14700KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D25 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z690-A WIFI (MS-7D25) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700KF |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2417
449.6 IPS |
|
|
Image Classification (HP)
|
100% |
621
115.6 IPS |
|
|
Image Classification (Q)
|
99% |
4805
896.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2537
41.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1238
20.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4020
65.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11105
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
5115
5.97 IPS |
|
|
Pose Estimation (Q)
|
95% |
37384
43.8 IPS |
|
|
Object Detection (SP)
|
100% |
3184
252.5 IPS |
|
|
Object Detection (HP)
|
100% |
858
68.1 IPS |
|
|
Object Detection (Q)
|
88% |
2549
204.4 IPS |
|
|
Face Detection (SP)
|
100% |
6404
76.1 IPS |
|
|
Face Detection (HP)
|
100% |
2133
25.3 IPS |
|
|
Face Detection (Q)
|
97% |
6723
80.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11359
87.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2536
19.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
12786
102.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25471
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
13055
16.8 IPS |
|
|
Style Transfer (Q)
|
98% |
34625
44.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3897
143.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2412
89.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6063
224.5 IPS |
|
|
Text Classification (SP)
|
100% |
2071
2.76 KIPS |
|
|
Text Classification (HP)
|
100% |
863
1.15 KIPS |
|
|
Text Classification (Q)
|
97% |
714
955.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2826
48.7 IPS |
|
|
Machine Translation (HP)
|
100% |
850
14.6 IPS |
|
|
Machine Translation (Q)
|
60% |
2875
64.1 IPS |
