System manufacturer System Product Name
Geekbench AI Score
396
Single Precision Score
395
Half Precision Score
754
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | ViNsTeR777 |
| Upload Date | January 29 2025 11:21 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i3 CPU 550 @ 3.20GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK Computer INC. Maximus III Formula |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i3-550 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 37 Stepping 5 |
| Base Frequency | 4.82 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
| Type | DDR |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
247
45.9 IPS |
|
|
Image Classification (HP)
|
100% |
245
45.6 IPS |
|
|
Image Classification (Q)
|
100% |
499
92.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
299
4.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
301
4.88 IPS |
|
|
Image Segmentation (Q)
|
99% |
559
9.09 IPS |
|
|
Pose Estimation (SP)
|
100% |
419
0.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
420
0.49 IPS |
|
|
Pose Estimation (Q)
|
94% |
1076
1.26 IPS |
|
|
Object Detection (SP)
|
100% |
231
18.3 IPS |
|
|
Object Detection (HP)
|
100% |
231
18.3 IPS |
|
|
Object Detection (Q)
|
87% |
506
40.6 IPS |
|
|
Face Detection (SP)
|
100% |
739
8.78 IPS |
|
|
Face Detection (HP)
|
100% |
739
8.78 IPS |
|
|
Face Detection (Q)
|
97% |
1372
16.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
588
4.53 IPS |
|
|
Depth Estimation (HP)
|
99% |
587
4.52 IPS |
|
|
Depth Estimation (Q)
|
81% |
1279
10.1 IPS |
|
|
Style Transfer (SP)
|
100% |
1049
1.35 IPS |
|
|
Style Transfer (HP)
|
100% |
1031
1.33 IPS |
|
|
Style Transfer (Q)
|
98% |
3203
4.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
266
9.82 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
266
9.84 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
639
23.7 IPS |
|
|
Text Classification (SP)
|
100% |
322
430.2 IPS |
|
|
Text Classification (HP)
|
100% |
324
432.6 IPS |
|
|
Text Classification (Q)
|
91% |
332
446.7 IPS |
|
|
Machine Translation (SP)
|
100% |
340
5.86 IPS |
|
|
Machine Translation (HP)
|
100% |
339
5.84 IPS |
|
|
Machine Translation (Q)
|
100% |
332
5.71 IPS |
