Datto Inc. DATTO-SSD
Geekbench AI Score
507
Single Precision Score
286
Half Precision Score
493
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | roomac |
| Upload Date | March 12 2026 04:12 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-5010U |
| 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% |
265
49.2 IPS |
|
|
Image Classification (HP)
|
100% |
95
17.7 IPS |
|
|
Image Classification (Q)
|
96% |
318
59.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
181
2.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
152
2.47 IPS |
|
|
Image Segmentation (Q)
|
97% |
279
4.54 IPS |
|
|
Pose Estimation (SP)
|
100% |
698
0.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
538
0.63 IPS |
|
|
Pose Estimation (Q)
|
86% |
752
0.89 IPS |
|
|
Object Detection (SP)
|
100% |
327
26.0 IPS |
|
|
Object Detection (HP)
|
100% |
170
13.5 IPS |
|
|
Object Detection (Q)
|
58% |
243
26.6 IPS |
|
|
Face Detection (SP)
|
100% |
939
11.2 IPS |
|
|
Face Detection (HP)
|
100% |
374
4.45 IPS |
|
|
Face Detection (Q)
|
96% |
880
10.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
871
6.71 IPS |
|
|
Depth Estimation (HP)
|
99% |
428
3.30 IPS |
|
|
Depth Estimation (Q)
|
78% |
883
7.05 IPS |
|
|
Style Transfer (SP)
|
100% |
1704
2.19 IPS |
|
|
Style Transfer (HP)
|
100% |
1256
1.62 IPS |
|
|
Style Transfer (Q)
|
87% |
1800
2.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
364
13.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
294
10.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
430
15.9 IPS |
|
|
Text Classification (SP)
|
100% |
399
532.6 IPS |
|
|
Text Classification (HP)
|
100% |
230
307.4 IPS |
|
|
Text Classification (Q)
|
97% |
176
235.4 IPS |
|
|
Machine Translation (SP)
|
100% |
514
8.85 IPS |
|
|
Machine Translation (HP)
|
100% |
207
3.56 IPS |
|
|
Machine Translation (Q)
|
68% |
502
9.71 IPS |
