Micro-Star International Co., Ltd. Modern 14 C12MO
Geekbench AI Score
1235
Single Precision Score
1221
Half Precision Score
814
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | alalsafarjal |
| Upload Date | April 09 2025 08:21 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-1255U |
| System Information | |
|---|---|
| Operating System | Kali GNU/Linux Rolling |
| Model | Micro-Star International Co., Ltd. Modern 14 C12MO |
| Motherboard | Micro-Star International Co., Ltd. MS-14J1 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1255U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
902
167.8 IPS |
|
|
Image Classification (HP)
|
100% |
857
159.3 IPS |
|
|
Image Classification (Q)
|
99% |
475
88.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1149
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1162
18.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
649
10.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1566
1.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
1564
1.82 IPS |
|
|
Pose Estimation (Q)
|
96% |
1388
1.63 IPS |
|
|
Object Detection (SP)
|
100% |
929
73.7 IPS |
|
|
Object Detection (HP)
|
100% |
927
73.5 IPS |
|
|
Object Detection (Q)
|
85% |
579
46.6 IPS |
|
|
Face Detection (SP)
|
100% |
1520
18.1 IPS |
|
|
Face Detection (HP)
|
100% |
1521
18.1 IPS |
|
|
Face Detection (Q)
|
97% |
1348
16.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1535
11.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1540
11.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
1074
10.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2122
2.73 IPS |
|
|
Style Transfer (HP)
|
100% |
2120
2.73 IPS |
|
|
Style Transfer (Q)
|
98% |
3062
3.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1013
37.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1010
37.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
746
27.6 IPS |
|
|
Text Classification (SP)
|
100% |
792
1.06 KIPS |
|
|
Text Classification (HP)
|
100% |
794
1.06 KIPS |
|
|
Text Classification (Q)
|
92% |
383
514.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1388
23.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1286
22.2 IPS |
|
|
Machine Translation (Q)
|
58% |
411
9.66 IPS |
