System manufacturer System Product Name
Geekbench AI Score
376
Single Precision Score
292
Half Precision Score
673
Quantized Score
Geekbench AI 1.4.0 for Windows x86 (64-bit)
Result Information
| User | yee245 |
| Upload Date | October 28 2025 07:19 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Pentium G4560 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. MAXIMUS IX HERO |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Pentium G4560 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
227
42.2 IPS |
|
|
Image Classification (HP)
|
100% |
147
27.3 IPS |
|
|
Image Classification (Q)
|
96% |
473
88.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
244
3.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
208
3.37 IPS |
|
|
Image Segmentation (Q)
|
97% |
464
7.54 IPS |
|
|
Pose Estimation (SP)
|
100% |
374
0.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
355
0.41 IPS |
|
|
Pose Estimation (Q)
|
86% |
904
1.07 IPS |
|
|
Object Detection (SP)
|
100% |
224
17.8 IPS |
|
|
Object Detection (HP)
|
100% |
161
12.7 IPS |
|
|
Object Detection (Q)
|
58% |
329
36.0 IPS |
|
|
Face Detection (SP)
|
100% |
681
8.09 IPS |
|
|
Face Detection (HP)
|
100% |
451
5.36 IPS |
|
|
Face Detection (Q)
|
96% |
1084
12.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
532
4.10 IPS |
|
|
Depth Estimation (HP)
|
99% |
422
3.25 IPS |
|
|
Depth Estimation (Q)
|
78% |
1072
8.53 IPS |
|
|
Style Transfer (SP)
|
100% |
1026
1.32 IPS |
|
|
Style Transfer (HP)
|
100% |
1031
1.33 IPS |
|
|
Style Transfer (Q)
|
87% |
2081
2.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
222
8.19 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
214
7.90 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
557
20.7 IPS |
|
|
Text Classification (SP)
|
100% |
296
395.0 IPS |
|
|
Text Classification (HP)
|
100% |
226
301.9 IPS |
|
|
Text Classification (Q)
|
97% |
274
367.4 IPS |
|
|
Machine Translation (SP)
|
100% |
502
8.64 IPS |
|
|
Machine Translation (HP)
|
100% |
274
4.73 IPS |
|
|
Machine Translation (Q)
|
68% |
801
15.5 IPS |
