System manufacturer System Product Name
Geekbench AI Score
2129
Single Precision Score
951
Half Precision Score
2917
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | AABADAWI |
| Upload Date | April 08 2025 06:46 PM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-9400F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF H310-PLUS GAMING |
| 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% |
1629
302.9 IPS |
|
|
Image Classification (HP)
|
100% |
338
62.8 IPS |
|
|
Image Classification (Q)
|
96% |
2474
462.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
821
13.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
505
8.19 IPS |
|
|
Image Segmentation (Q)
|
97% |
1746
28.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3743
4.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
3067
3.58 IPS |
|
|
Pose Estimation (Q)
|
86% |
6927
8.19 IPS |
|
|
Object Detection (SP)
|
100% |
1594
126.4 IPS |
|
|
Object Detection (HP)
|
100% |
426
33.8 IPS |
|
|
Object Detection (Q)
|
58% |
1764
192.7 IPS |
|
|
Face Detection (SP)
|
100% |
2429
28.9 IPS |
|
|
Face Detection (HP)
|
100% |
862
10.2 IPS |
|
|
Face Detection (Q)
|
96% |
4537
54.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4635
35.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1284
9.90 IPS |
|
|
Depth Estimation (Q)
|
78% |
5986
47.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8782
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
6828
8.78 IPS |
|
|
Style Transfer (Q)
|
87% |
9987
13.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1575
58.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1337
49.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1940
71.9 IPS |
|
|
Text Classification (SP)
|
100% |
1103
1.47 KIPS |
|
|
Text Classification (HP)
|
100% |
551
735.6 IPS |
|
|
Text Classification (Q)
|
97% |
958
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1399
24.1 IPS |
|
|
Machine Translation (HP)
|
100% |
490
8.43 IPS |
|
|
Machine Translation (Q)
|
68% |
1679
32.4 IPS |
