System manufacturer System Product Name
Geekbench AI Score
2380
Single Precision Score
1092
Half Precision Score
2449
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Traktor |
| Upload Date | October 07 2024 01:36 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-9400F |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS XI GENE |
| CPU Information | |
|---|---|
| Name | Intel Core i5-9400F |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1489
277.0 IPS |
|
|
Image Classification (HP)
|
100% |
370
68.9 IPS |
|
|
Image Classification (Q)
|
96% |
2059
384.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1155
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
603
9.78 IPS |
|
|
Image Segmentation (Q)
|
97% |
1520
24.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4647
5.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
3765
4.39 IPS |
|
|
Pose Estimation (Q)
|
87% |
8048
9.51 IPS |
|
|
Object Detection (SP)
|
100% |
1538
122.0 IPS |
|
|
Object Detection (HP)
|
100% |
472
37.4 IPS |
|
|
Object Detection (Q)
|
86% |
1460
117.3 IPS |
|
|
Face Detection (SP)
|
100% |
1929
22.9 IPS |
|
|
Face Detection (HP)
|
100% |
1051
12.5 IPS |
|
|
Face Detection (Q)
|
96% |
3150
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4808
37.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1496
11.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
4183
33.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10900
14.0 IPS |
|
|
Style Transfer (HP)
|
100% |
8551
11.0 IPS |
|
|
Style Transfer (Q)
|
87% |
12554
16.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1862
68.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1659
61.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2274
84.3 IPS |
|
|
Text Classification (SP)
|
100% |
1429
1.91 KIPS |
|
|
Text Classification (HP)
|
100% |
558
745.4 IPS |
|
|
Text Classification (Q)
|
97% |
389
521.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1768
30.5 IPS |
|
|
Machine Translation (HP)
|
100% |
492
8.48 IPS |
|
|
Machine Translation (Q)
|
60% |
1448
32.3 IPS |
