System manufacturer System Product Name
Geekbench AI Score
133
Single Precision Score
133
Half Precision Score
633
Quantized Score
Geekbench AI 1.1.0 for Windows x86 (64-bit)
Result Information
| User | ViNsTeR777 |
| Upload Date | November 05 2024 09:49 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i3-3220 CPU @ 3.30GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK Computer INC. Maximus IV Extreme-Z |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i3-3220 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
217
40.3 IPS |
|
|
Image Classification (HP)
|
100% |
215
40.0 IPS |
|
|
Image Classification (Q)
|
100% |
403
74.9 IPS |
|
|
Image Segmentation (SP)
|
29% |
25
5.26 IPS |
|
|
Image Segmentation (HP)
|
29% |
25
5.25 IPS |
|
|
Image Segmentation (Q)
|
99% |
468
7.61 IPS |
|
|
Pose Estimation (SP)
|
100% |
359
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
359
0.42 IPS |
|
|
Pose Estimation (Q)
|
94% |
800
0.94 IPS |
|
|
Object Detection (SP)
|
100% |
211
16.7 IPS |
|
|
Object Detection (HP)
|
100% |
211
16.7 IPS |
|
|
Object Detection (Q)
|
87% |
406
32.6 IPS |
|
|
Face Detection (SP)
|
100% |
782
9.30 IPS |
|
|
Face Detection (HP)
|
100% |
786
9.34 IPS |
|
|
Face Detection (Q)
|
97% |
1147
13.7 IPS |
|
|
Depth Estimation (SP)
|
1% |
0
5.32 IPS |
|
|
Depth Estimation (HP)
|
1% |
0
5.32 IPS |
|
|
Depth Estimation (Q)
|
81% |
1023
8.08 IPS |
|
|
Style Transfer (SP)
|
31% |
101
1.38 IPS |
|
|
Style Transfer (HP)
|
31% |
102
1.38 IPS |
|
|
Style Transfer (Q)
|
98% |
2405
3.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
313
11.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
315
11.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
494
18.3 IPS |
|
|
Text Classification (SP)
|
100% |
385
514.1 IPS |
|
|
Text Classification (HP)
|
100% |
384
512.5 IPS |
|
|
Text Classification (Q)
|
91% |
258
346.3 IPS |
|
|
Machine Translation (SP)
|
100% |
453
7.81 IPS |
|
|
Machine Translation (HP)
|
100% |
456
7.85 IPS |
|
|
Machine Translation (Q)
|
100% |
475
8.19 IPS |
