Acer Aspire XC-1760
Geekbench AI Score
2299
Single Precision Score
1209
Half Precision Score
4978
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | gethen |
| Upload Date | December 19 2024 12:21 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12400 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Aspire XC-1760 |
| Motherboard | Acer Aspire XC-1760 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12400 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1438
267.4 IPS |
|
|
Image Classification (HP)
|
100% |
444
82.5 IPS |
|
|
Image Classification (Q)
|
99% |
4352
811.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1045
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
705
11.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2495
40.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3358
3.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
2769
3.23 IPS |
|
|
Pose Estimation (Q)
|
94% |
14171
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
1678
133.1 IPS |
|
|
Object Detection (HP)
|
100% |
639
50.7 IPS |
|
|
Object Detection (Q)
|
86% |
4513
362.7 IPS |
|
|
Face Detection (SP)
|
100% |
3335
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
1356
16.1 IPS |
|
|
Face Detection (Q)
|
97% |
6620
78.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4452
34.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1720
13.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
10305
82.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8984
11.5 IPS |
|
|
Style Transfer (HP)
|
100% |
7056
9.07 IPS |
|
|
Style Transfer (Q)
|
98% |
13326
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1636
60.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1461
53.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3473
128.6 IPS |
|
|
Text Classification (SP)
|
100% |
1323
1.77 KIPS |
|
|
Text Classification (HP)
|
100% |
752
1.00 KIPS |
|
|
Text Classification (Q)
|
97% |
1606
2.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1688
29.1 IPS |
|
|
Machine Translation (HP)
|
100% |
671
11.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2658
53.4 IPS |
