Acer Aspire XC-885
Geekbench AI Score
6701
Single Precision Score
5143
Half Precision Score
5118
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Fil_911 |
| Upload Date | January 06 2025 08:09 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1650 |
| 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% |
2563
476.7 IPS |
|
|
Image Classification (HP)
|
100% |
2340
435.1 IPS |
|
|
Image Classification (Q)
|
99% |
2511
468.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4565
74.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3642
59.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3873
63.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
24679
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
14891
17.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
22102
25.9 IPS |
|
|
Object Detection (SP)
|
100% |
3412
270.6 IPS |
|
|
Object Detection (HP)
|
100% |
3123
247.8 IPS |
|
|
Object Detection (Q)
|
83% |
2875
232.3 IPS |
|
|
Face Detection (SP)
|
100% |
7736
91.9 IPS |
|
|
Face Detection (HP)
|
100% |
6166
73.3 IPS |
|
|
Face Detection (Q)
|
97% |
6641
79.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
16027
123.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
11330
87.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
12362
98.7 IPS |
|
|
Style Transfer (SP)
|
100% |
44050
56.6 IPS |
|
|
Style Transfer (HP)
|
100% |
29484
37.9 IPS |
|
|
Style Transfer (Q)
|
98% |
38656
49.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9849
363.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7424
274.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6789
251.4 IPS |
|
|
Text Classification (SP)
|
100% |
1604
2.14 KIPS |
|
|
Text Classification (HP)
|
100% |
971
1.30 KIPS |
|
|
Text Classification (Q)
|
97% |
900
1.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2149
37.0 IPS |
|
|
Machine Translation (HP)
|
98% |
2203
38.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1030
19.3 IPS |
