Arr2025-01 QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
1188
Single Precision Score
665
Half Precision Score
2700
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Cosine5000 |
| Upload Date | November 10 2025 07:50 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-14400 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2025 Standard (64-bit) |
| Model | QEMU Standard PC (Q35 + ICH9, 2009) |
| Motherboard | |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14400 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Type | RAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
847
157.5 IPS |
|
|
Image Classification (HP)
|
100% |
265
49.3 IPS |
|
|
Image Classification (Q)
|
99% |
2049
382.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
647
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
457
7.42 IPS |
|
|
Image Segmentation (Q)
|
98% |
2376
38.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1695
1.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
1408
1.64 IPS |
|
|
Pose Estimation (Q)
|
94% |
6301
7.39 IPS |
|
|
Object Detection (SP)
|
100% |
764
60.6 IPS |
|
|
Object Detection (HP)
|
100% |
329
26.1 IPS |
|
|
Object Detection (Q)
|
86% |
1963
157.7 IPS |
|
|
Face Detection (SP)
|
100% |
2637
31.3 IPS |
|
|
Face Detection (HP)
|
100% |
841
9.99 IPS |
|
|
Face Detection (Q)
|
97% |
3295
39.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1933
14.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
978
7.53 IPS |
|
|
Depth Estimation (Q)
|
78% |
5077
40.5 IPS |
|
|
Style Transfer (SP)
|
100% |
4403
5.66 IPS |
|
|
Style Transfer (HP)
|
100% |
3094
3.98 IPS |
|
|
Style Transfer (Q)
|
98% |
8722
11.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
868
32.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
741
27.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1983
73.4 IPS |
|
|
Text Classification (SP)
|
100% |
374
499.1 IPS |
|
|
Text Classification (HP)
|
100% |
420
560.0 IPS |
|
|
Text Classification (Q)
|
97% |
781
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1086
18.7 IPS |
|
|
Machine Translation (HP)
|
100% |
384
6.62 IPS |
|
|
Machine Translation (Q)
|
65% |
1518
30.5 IPS |
