System manufacturer System Product Name
Geekbench AI Score
1956
Single Precision Score
935
Half Precision Score
2257
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Petrat |
| Upload Date | June 29 2025 07:39 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-9100F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z390M-PLUS |
| CPU Information | |
|---|---|
| Name | Intel Core i3-9100F |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1491
277.3 IPS |
|
|
Image Classification (HP)
|
100% |
363
67.6 IPS |
|
|
Image Classification (Q)
|
96% |
2095
391.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
712
11.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
519
8.42 IPS |
|
|
Image Segmentation (Q)
|
97% |
1175
19.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3216
3.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
2550
2.98 IPS |
|
|
Pose Estimation (Q)
|
86% |
5403
6.39 IPS |
|
|
Object Detection (SP)
|
100% |
1415
112.3 IPS |
|
|
Object Detection (HP)
|
100% |
449
35.6 IPS |
|
|
Object Detection (Q)
|
58% |
1386
151.5 IPS |
|
|
Face Detection (SP)
|
100% |
2508
29.8 IPS |
|
|
Face Detection (HP)
|
100% |
942
11.2 IPS |
|
|
Face Detection (Q)
|
96% |
4052
48.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3919
30.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1297
9.99 IPS |
|
|
Depth Estimation (Q)
|
78% |
5210
41.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7418
9.54 IPS |
|
|
Style Transfer (HP)
|
100% |
5748
7.39 IPS |
|
|
Style Transfer (Q)
|
87% |
9096
11.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1409
52.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1185
43.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1774
65.7 IPS |
|
|
Text Classification (SP)
|
100% |
1110
1.48 KIPS |
|
|
Text Classification (HP)
|
100% |
557
743.7 IPS |
|
|
Text Classification (Q)
|
97% |
371
496.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1490
25.7 IPS |
|
|
Machine Translation (HP)
|
100% |
515
8.88 IPS |
|
|
Machine Translation (Q)
|
68% |
1476
28.5 IPS |
