Acer Aspire XC-885
Geekbench AI Score
2264
Single Precision Score
1002
Half Precision Score
2627
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Fil_911 |
| Upload Date | January 06 2025 08:14 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-8400 |
| System Information | |
|---|---|
| Operating System | Windows 10 (64-bit) |
| Model | Acer Aspire XC-885 |
| Motherboard | Acer Aspire XC-885 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8400 |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.81 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1913
355.7 IPS |
|
|
Image Classification (HP)
|
100% |
367
68.3 IPS |
|
|
Image Classification (Q)
|
96% |
2675
499.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
899
14.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
545
8.83 IPS |
|
|
Image Segmentation (Q)
|
97% |
1393
22.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4158
4.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
3308
3.86 IPS |
|
|
Pose Estimation (Q)
|
86% |
7298
8.63 IPS |
|
|
Object Detection (SP)
|
100% |
1591
126.2 IPS |
|
|
Object Detection (HP)
|
100% |
401
31.8 IPS |
|
|
Object Detection (Q)
|
58% |
1703
186.1 IPS |
|
|
Face Detection (SP)
|
100% |
2576
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
917
10.9 IPS |
|
|
Face Detection (Q)
|
96% |
4338
51.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4812
37.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1379
10.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
6209
49.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9305
12.0 IPS |
|
|
Style Transfer (HP)
|
100% |
7347
9.44 IPS |
|
|
Style Transfer (Q)
|
87% |
10604
13.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1616
59.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1431
52.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2053
76.1 IPS |
|
|
Text Classification (SP)
|
100% |
1205
1.61 KIPS |
|
|
Text Classification (HP)
|
100% |
582
776.9 IPS |
|
|
Text Classification (Q)
|
97% |
377
505.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1385
23.9 IPS |
|
|
Machine Translation (HP)
|
100% |
501
8.64 IPS |
|
|
Machine Translation (Q)
|
68% |
1533
29.6 IPS |
