Datto Inc. DATTO-SSD
Geekbench AI Score
717
Single Precision Score
711
Half Precision Score
739
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | roomac |
| Upload Date | March 12 2026 04:27 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i3-5010U CPU @ 2.10GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Datto Inc. DATTO-SSD |
| Motherboard | Datto Inc. DATTO-SSD |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-5010U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 61 Stepping 4 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
415
77.3 IPS |
|
|
Image Classification (HP)
|
100% |
390
72.5 IPS |
|
|
Image Classification (Q)
|
100% |
459
85.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
465
7.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
454
7.36 IPS |
|
|
Image Segmentation (Q)
|
99% |
532
8.65 IPS |
|
|
Pose Estimation (SP)
|
100% |
762
0.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
757
0.88 IPS |
|
|
Pose Estimation (Q)
|
94% |
942
1.10 IPS |
|
|
Object Detection (SP)
|
100% |
408
32.3 IPS |
|
|
Object Detection (HP)
|
100% |
408
32.3 IPS |
|
|
Object Detection (Q)
|
87% |
464
37.2 IPS |
|
|
Face Detection (SP)
|
100% |
1094
13.0 IPS |
|
|
Face Detection (HP)
|
100% |
1097
13.0 IPS |
|
|
Face Detection (Q)
|
97% |
1285
15.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1022
7.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
1006
7.75 IPS |
|
|
Depth Estimation (Q)
|
81% |
1183
9.32 IPS |
|
|
Style Transfer (SP)
|
100% |
2409
3.10 IPS |
|
|
Style Transfer (HP)
|
100% |
2440
3.14 IPS |
|
|
Style Transfer (Q)
|
98% |
2714
3.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
509
18.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
505
18.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
571
21.2 IPS |
|
|
Text Classification (SP)
|
100% |
526
702.5 IPS |
|
|
Text Classification (HP)
|
100% |
529
706.1 IPS |
|
|
Text Classification (Q)
|
91% |
230
308.5 IPS |
|
|
Machine Translation (SP)
|
100% |
838
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
844
14.5 IPS |
|
|
Machine Translation (Q)
|
100% |
844
14.5 IPS |
