Micro-Star International Co., Ltd. MS-7D31
Geekbench AI Score
6228
Single Precision Score
6234
Half Precision Score
14875
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | achakbrooks |
| Upload Date | October 24 2024 12:13 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i7-13700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D31 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z690 EDGE WIFI DDR4 (MS-7D31) |
| Power Plan | Bitsum Highest Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4233
787.2 IPS |
|
|
Image Classification (HP)
|
100% |
4382
815.0 IPS |
|
|
Image Classification (Q)
|
100% |
9145
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5103
82.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5165
83.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
8797
142.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8706
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
8703
10.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30791
36.1 IPS |
|
|
Object Detection (SP)
|
100% |
3855
305.8 IPS |
|
|
Object Detection (HP)
|
100% |
3504
277.9 IPS |
|
|
Object Detection (Q)
|
88% |
9707
778.1 IPS |
|
|
Face Detection (SP)
|
100% |
10214
121.4 IPS |
|
|
Face Detection (HP)
|
100% |
10954
130.2 IPS |
|
|
Face Detection (Q)
|
100% |
24457
290.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11028
85.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
10856
83.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
26862
208.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25833
33.2 IPS |
|
|
Style Transfer (HP)
|
100% |
25740
33.1 IPS |
|
|
Style Transfer (Q)
|
98% |
88617
114.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5463
201.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5452
201.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16587
614.3 IPS |
|
|
Text Classification (SP)
|
100% |
1551
2.07 KIPS |
|
|
Text Classification (HP)
|
100% |
1571
2.10 KIPS |
|
|
Text Classification (Q)
|
92% |
4554
6.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
4913
84.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4906
84.5 IPS |
|
|
Machine Translation (Q)
|
100% |
5016
86.4 IPS |
