Micro-Star International Co., Ltd. Prestige 14 A12UC
Geekbench AI Score
3155
Single Precision Score
1139
Half Precision Score
5245
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 25 2024 05:29 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1280P |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. Prestige 14 A12UC |
| Motherboard | Micro-Star International Co., Ltd. MS-14C6 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1280P |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2425
451.0 IPS |
|
|
Image Classification (HP)
|
100% |
444
82.5 IPS |
|
|
Image Classification (Q)
|
99% |
4394
819.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1507
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
779
12.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2556
41.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5149
6.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
3100
3.62 IPS |
|
|
Pose Estimation (Q)
|
94% |
17024
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
2247
178.2 IPS |
|
|
Object Detection (HP)
|
100% |
500
39.7 IPS |
|
|
Object Detection (Q)
|
86% |
4835
388.6 IPS |
|
|
Face Detection (SP)
|
100% |
6135
72.9 IPS |
|
|
Face Detection (HP)
|
100% |
1279
15.2 IPS |
|
|
Face Detection (Q)
|
97% |
7206
85.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6677
51.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1533
11.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
11652
93.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12311
15.8 IPS |
|
|
Style Transfer (HP)
|
100% |
7389
9.50 IPS |
|
|
Style Transfer (Q)
|
98% |
19424
25.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2299
84.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1499
55.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3340
123.7 IPS |
|
|
Text Classification (SP)
|
100% |
1264
1.69 KIPS |
|
|
Text Classification (HP)
|
100% |
570
760.4 IPS |
|
|
Text Classification (Q)
|
97% |
1344
1.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
1581
27.2 IPS |
|
|
Machine Translation (HP)
|
100% |
556
9.58 IPS |
|
|
Machine Translation (Q)
|
65% |
2330
46.8 IPS |
