Micro-Star International Co., Ltd. MS-7D99
Geekbench AI Score
4475
Single Precision Score
1667
Half Precision Score
6000
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 22 2024 01:33 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-12700KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D99 |
| Motherboard | Micro-Star International Co., Ltd. B760M GAMING PLUS WIFI (MS-7D99) |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700KF |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3510
652.8 IPS |
|
|
Image Classification (HP)
|
100% |
601
111.8 IPS |
|
|
Image Classification (Q)
|
99% |
6039
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1993
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1136
18.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2848
46.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7923
9.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
4442
5.18 IPS |
|
|
Pose Estimation (Q)
|
94% |
25507
29.9 IPS |
|
|
Object Detection (SP)
|
100% |
3240
257.0 IPS |
|
|
Object Detection (HP)
|
100% |
796
63.2 IPS |
|
|
Object Detection (Q)
|
86% |
5342
429.3 IPS |
|
|
Face Detection (SP)
|
100% |
8225
97.7 IPS |
|
|
Face Detection (HP)
|
100% |
1913
22.7 IPS |
|
|
Face Detection (Q)
|
97% |
9027
107.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9729
75.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2234
17.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
15433
123.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17967
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
10936
14.1 IPS |
|
|
Style Transfer (Q)
|
98% |
24688
31.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3371
124.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2176
80.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4773
176.7 IPS |
|
|
Text Classification (SP)
|
100% |
1722
2.30 KIPS |
|
|
Text Classification (HP)
|
100% |
813
1.09 KIPS |
|
|
Text Classification (Q)
|
97% |
597
799.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2152
37.1 IPS |
|
|
Machine Translation (HP)
|
100% |
831
14.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2635
52.9 IPS |
