Micro-Star International Co., Ltd. Modern 14 C12M
Geekbench AI Score
1600
Single Precision Score
876
Half Precision Score
2363
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | RomaGUS |
| Upload Date | November 17 2024 04:29 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-1215U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. Modern 14 C12M |
| Motherboard | Micro-Star International Co., Ltd. MS-14J1 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-1215U |
| Topology | 1 Processor, 6 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1006
187.0 IPS |
|
|
Image Classification (HP)
|
100% |
358
66.6 IPS |
|
|
Image Classification (Q)
|
99% |
1876
350.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
856
13.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
655
10.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1539
25.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2586
3.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
1850
2.16 IPS |
|
|
Pose Estimation (Q)
|
95% |
8022
9.40 IPS |
|
|
Object Detection (SP)
|
100% |
1030
81.7 IPS |
|
|
Object Detection (HP)
|
100% |
426
33.8 IPS |
|
|
Object Detection (Q)
|
88% |
1152
92.3 IPS |
|
|
Face Detection (SP)
|
100% |
1615
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
941
11.2 IPS |
|
|
Face Detection (Q)
|
97% |
2680
31.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2945
22.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1296
9.98 IPS |
|
|
Depth Estimation (Q)
|
77% |
4241
33.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6043
7.77 IPS |
|
|
Style Transfer (HP)
|
100% |
4639
5.96 IPS |
|
|
Style Transfer (Q)
|
98% |
10228
13.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1188
43.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
995
36.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2437
90.3 IPS |
|
|
Text Classification (SP)
|
100% |
1110
1.48 KIPS |
|
|
Text Classification (HP)
|
100% |
508
678.6 IPS |
|
|
Text Classification (Q)
|
97% |
490
656.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1272
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
506
8.71 IPS |
|
|
Machine Translation (Q)
|
60% |
1468
32.7 IPS |
