MATERIEL.NET ENTRY WINDOWS 11
Geekbench AI Score
2300
Single Precision Score
1172
Half Precision Score
4198
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 03 2025 01:04 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-12100 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Famille (64-bit) |
| Model | MATERIEL.NET ENTRY WINDOWS 11 |
| Motherboard | Gigabyte Technology Co., Ltd. H610M H V3 DDR4 |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel Core i3-12100 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1785
332.0 IPS |
|
|
Image Classification (HP)
|
100% |
481
89.4 IPS |
|
|
Image Classification (Q)
|
99% |
4051
755.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1137
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
708
11.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2261
36.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3265
3.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
2723
3.18 IPS |
|
|
Pose Estimation (Q)
|
94% |
10784
12.6 IPS |
|
|
Object Detection (SP)
|
100% |
1679
133.2 IPS |
|
|
Object Detection (HP)
|
100% |
611
48.5 IPS |
|
|
Object Detection (Q)
|
86% |
3660
294.1 IPS |
|
|
Face Detection (SP)
|
100% |
2648
31.5 IPS |
|
|
Face Detection (HP)
|
100% |
1214
14.4 IPS |
|
|
Face Detection (Q)
|
97% |
5558
66.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4456
34.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1731
13.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
8900
71.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8280
10.6 IPS |
|
|
Style Transfer (HP)
|
100% |
6433
8.27 IPS |
|
|
Style Transfer (Q)
|
98% |
10109
13.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1738
64.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1520
56.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3060
113.3 IPS |
|
|
Text Classification (SP)
|
100% |
1389
1.85 KIPS |
|
|
Text Classification (HP)
|
100% |
651
868.5 IPS |
|
|
Text Classification (Q)
|
97% |
1584
2.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1585
27.3 IPS |
|
|
Machine Translation (HP)
|
100% |
647
11.1 IPS |
|
|
Machine Translation (Q)
|
65% |
1944
39.1 IPS |
