System manufacturer System Product Name
Geekbench AI Score
2264
Single Precision Score
2858
Half Precision Score
1739
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | AhmaadACM |
| Upload Date | October 26 2024 09:01 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1050 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF H310-PLUS GAMING |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i3-8100 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 11 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
660
122.8 IPS |
|
|
Image Classification (HP)
|
100% |
1173
218.2 IPS |
|
|
Image Classification (Q)
|
100% |
600
111.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1649
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1484
24.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1434
23.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1578
1.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
9854
11.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
1323
1.55 IPS |
|
|
Object Detection (SP)
|
100% |
908
72.0 IPS |
|
|
Object Detection (HP)
|
100% |
1404
111.4 IPS |
|
|
Object Detection (Q)
|
89% |
818
65.5 IPS |
|
|
Face Detection (SP)
|
100% |
1753
20.8 IPS |
|
|
Face Detection (HP)
|
100% |
2497
29.7 IPS |
|
|
Face Detection (Q)
|
97% |
1514
18.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6299
48.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
5836
45.0 IPS |
|
|
Depth Estimation (Q)
|
73% |
4915
40.3 IPS |
|
|
Style Transfer (SP)
|
100% |
29667
38.1 IPS |
|
|
Style Transfer (HP)
|
100% |
18216
23.4 IPS |
|
|
Style Transfer (Q)
|
98% |
24502
31.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6154
227.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4641
171.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4162
154.1 IPS |
|
|
Text Classification (SP)
|
100% |
1109
1.48 KIPS |
|
|
Text Classification (HP)
|
100% |
1231
1.64 KIPS |
|
|
Text Classification (Q)
|
97% |
685
917.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1019
17.6 IPS |
|
|
Machine Translation (HP)
|
96% |
999
17.3 IPS |
|
|
Machine Translation (Q)
|
60% |
523
11.7 IPS |
