Micro-Star International Co., Ltd. MS-7D48
Geekbench AI Score
1618
Single Precision Score
1592
Half Precision Score
887
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | iUserosx |
| Upload Date | December 21 2024 04:07 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i3-12100F |
| System Information | |
|---|---|
| Operating System | Linux Mint 21.3 |
| Model | Micro-Star International Co., Ltd. MS-7D48 |
| Motherboard | Micro-Star International Co., Ltd. PRO H610M-E DDR4 (MS-7D48) |
| CPU Information | |
|---|---|
| Name | Intel Core i3-12100F |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1115
207.4 IPS |
|
|
Image Classification (HP)
|
100% |
1120
208.2 IPS |
|
|
Image Classification (Q)
|
99% |
466
86.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1445
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1443
23.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
665
10.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1815
2.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
1812
2.11 IPS |
|
|
Pose Estimation (Q)
|
96% |
1425
1.67 IPS |
|
|
Object Detection (SP)
|
100% |
1192
94.5 IPS |
|
|
Object Detection (HP)
|
100% |
1009
80.0 IPS |
|
|
Object Detection (Q)
|
85% |
626
50.4 IPS |
|
|
Face Detection (SP)
|
100% |
2070
24.6 IPS |
|
|
Face Detection (HP)
|
100% |
2071
24.6 IPS |
|
|
Face Detection (Q)
|
97% |
1438
17.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1987
15.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1989
15.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
1182
11.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2574
3.31 IPS |
|
|
Style Transfer (HP)
|
100% |
2583
3.32 IPS |
|
|
Style Transfer (Q)
|
98% |
3187
4.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1256
46.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1257
46.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
812
30.1 IPS |
|
|
Text Classification (SP)
|
100% |
1416
1.89 KIPS |
|
|
Text Classification (HP)
|
100% |
1424
1.90 KIPS |
|
|
Text Classification (Q)
|
92% |
536
720.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1882
32.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1865
32.1 IPS |
|
|
Machine Translation (Q)
|
58% |
463
10.9 IPS |
