DESKTOP-IO07750 U2 InformationComputerSystems CJSC PrimePC Pro80
Geekbench AI Score
92
Single Precision Score
86
Half Precision Score
135
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| User | Yegor99 |
| Upload Date | September 14 2025 02:47 PM |
| Views | 11 |
| Notes | Upgrade 2 Windows 10 Pro 22H2 x64 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 2 Duo E4600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | InformationComputerSystems CJSC PrimePC Pro80 |
| Motherboard | ASUSTeK Computer INC. P5GZ-MX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core 2 Duo E4600 |
| Topology | 1 Processor, 2 Cores |
| Identifier | GenuineIntel Family 6 Model 15 Stepping 13 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 2.00 GB |
| Type | SDRAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
53
9.89 IPS |
|
|
Image Classification (HP)
|
100% |
42
7.88 IPS |
|
|
Image Classification (Q)
|
99% |
88
16.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
52
0.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
55
0.89 IPS |
|
|
Image Segmentation (Q)
|
98% |
97
1.58 IPS |
|
|
Pose Estimation (SP)
|
100% |
96
0.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
135
0.16 IPS |
|
|
Pose Estimation (Q)
|
94% |
183
0.21 IPS |
|
|
Object Detection (SP)
|
100% |
51
4.07 IPS |
|
|
Object Detection (HP)
|
100% |
45
3.56 IPS |
|
|
Object Detection (Q)
|
86% |
86
6.89 IPS |
|
|
Face Detection (SP)
|
100% |
149
1.77 IPS |
|
|
Face Detection (HP)
|
100% |
102
1.22 IPS |
|
|
Face Detection (Q)
|
97% |
222
2.65 IPS |
|
|
Depth Estimation (SP)
|
100% |
136
1.05 IPS |
|
|
Depth Estimation (HP)
|
99% |
133
1.03 IPS |
|
|
Depth Estimation (Q)
|
78% |
202
1.61 IPS |
|
|
Style Transfer (SP)
|
100% |
264
0.34 IPS |
|
|
Style Transfer (HP)
|
100% |
367
0.47 IPS |
|
|
Style Transfer (Q)
|
98% |
392
0.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
58
2.13 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
77
2.85 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
105
3.90 IPS |
|
|
Text Classification (SP)
|
100% |
98
130.9 IPS |
|
|
Text Classification (HP)
|
100% |
68
90.9 IPS |
|
|
Text Classification (Q)
|
97% |
79
106.2 IPS |
|
|
Machine Translation (SP)
|
100% |
114
1.96 IPS |
|
|
Machine Translation (HP)
|
100% |
66
1.14 IPS |
|
|
Machine Translation (Q)
|
65% |
105
2.12 IPS |
