iPad (6th generation)
Geekbench AI Score
333
Single Precision Score
307
Half Precision Score
211
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 04:34 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A10 Fusion |
| System Information | |
|---|---|
| Operating System | iOS 17.7 |
| Model | iPad (6th generation) |
| Model ID | iPad7,5 |
| Motherboard | J71bAP |
| CPU Information | |
|---|---|
| Name | Apple A10 Fusion |
| Topology | 1 Processor, 2 Cores |
| Identifier | ARM |
| Base Frequency | 2.32 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 1.93 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
197
36.6 IPS |
|
|
Image Classification (HP)
|
100% |
179
33.3 IPS |
|
|
Image Classification (Q)
|
96% |
102
19.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
160
2.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
146
2.37 IPS |
|
|
Image Segmentation (Q)
|
99% |
117
1.90 IPS |
|
|
Pose Estimation (SP)
|
100% |
849
0.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
852
0.99 IPS |
|
|
Pose Estimation (Q)
|
95% |
612
0.72 IPS |
|
|
Object Detection (SP)
|
100% |
167
13.3 IPS |
|
|
Object Detection (HP)
|
100% |
156
12.4 IPS |
|
|
Object Detection (Q)
|
92% |
97
7.76 IPS |
|
|
Face Detection (SP)
|
100% |
375
4.46 IPS |
|
|
Face Detection (HP)
|
100% |
371
4.40 IPS |
|
|
Face Detection (Q)
|
100% |
156
1.85 IPS |
|
|
Depth Estimation (SP)
|
100% |
474
3.65 IPS |
|
|
Depth Estimation (HP)
|
99% |
428
3.30 IPS |
|
|
Depth Estimation (Q)
|
86% |
293
2.29 IPS |
|
|
Style Transfer (SP)
|
100% |
1382
1.78 IPS |
|
|
Style Transfer (HP)
|
100% |
1320
1.70 IPS |
|
|
Style Transfer (Q)
|
96% |
1025
1.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
396
14.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
389
14.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
207
7.65 IPS |
|
|
Text Classification (SP)
|
100% |
149
198.4 IPS |
|
|
Text Classification (HP)
|
100% |
121
161.9 IPS |
|
|
Text Classification (Q)
|
93% |
121
161.8 IPS |
|
|
Machine Translation (SP)
|
100% |
259
4.46 IPS |
|
|
Machine Translation (HP)
|
100% |
218
3.76 IPS |
|
|
Machine Translation (Q)
|
98% |
220
3.80 IPS |
