Micro-Star International Co., Ltd. MS-7D99
Geekbench AI Score
6047
Single Precision Score
6446
Half Precision Score
14862
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 02 2025 11:22 AM |
| Views | 2 |
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-7D99 |
| Motherboard | Micro-Star International Co., Ltd. PRO B760M-A WIFI (MS-7D99) |
| Power Plan | Balanced |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4467
830.8 IPS |
|
|
Image Classification (HP)
|
100% |
4571
850.0 IPS |
|
|
Image Classification (Q)
|
100% |
8764
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5192
84.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5179
83.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7608
123.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9028
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
9041
10.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
32615
38.2 IPS |
|
|
Object Detection (SP)
|
100% |
2417
191.7 IPS |
|
|
Object Detection (HP)
|
100% |
4209
333.9 IPS |
|
|
Object Detection (Q)
|
88% |
10052
805.8 IPS |
|
|
Face Detection (SP)
|
100% |
11849
140.8 IPS |
|
|
Face Detection (HP)
|
100% |
11849
140.8 IPS |
|
|
Face Detection (Q)
|
100% |
24769
294.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
11432
88.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
11300
87.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
27256
211.9 IPS |
|
|
Style Transfer (SP)
|
100% |
26981
34.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26610
34.2 IPS |
|
|
Style Transfer (Q)
|
98% |
91875
118.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5660
209.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5713
210.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16936
627.2 IPS |
|
|
Text Classification (SP)
|
100% |
1610
2.15 KIPS |
|
|
Text Classification (HP)
|
100% |
1626
2.17 KIPS |
|
|
Text Classification (Q)
|
92% |
4728
6.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3885
66.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4156
71.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4844
83.4 IPS |
