iPad (6th generation)
Geekbench AI Score
338
Single Precision Score
317
Half Precision Score
219
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Gothic_Day |
| Upload Date | December 10 2024 09:32 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A10 Fusion |
| System Information | |
|---|---|
| Operating System | iOS 17.7.3 |
| 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
33.2 IPS |
|
|
Image Classification (Q)
|
96% |
102
19.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
159
2.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
162
2.62 IPS |
|
|
Image Segmentation (Q)
|
99% |
128
2.08 IPS |
|
|
Pose Estimation (SP)
|
100% |
897
1.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
874
1.02 IPS |
|
|
Pose Estimation (Q)
|
95% |
652
0.76 IPS |
|
|
Object Detection (SP)
|
100% |
170
13.5 IPS |
|
|
Object Detection (HP)
|
100% |
158
12.5 IPS |
|
|
Object Detection (Q)
|
92% |
98
7.82 IPS |
|
|
Face Detection (SP)
|
100% |
376
4.47 IPS |
|
|
Face Detection (HP)
|
100% |
373
4.43 IPS |
|
|
Face Detection (Q)
|
100% |
162
1.93 IPS |
|
|
Depth Estimation (SP)
|
100% |
490
3.78 IPS |
|
|
Depth Estimation (HP)
|
99% |
442
3.40 IPS |
|
|
Depth Estimation (Q)
|
86% |
304
2.37 IPS |
|
|
Style Transfer (SP)
|
100% |
1465
1.88 IPS |
|
|
Style Transfer (HP)
|
100% |
1384
1.78 IPS |
|
|
Style Transfer (Q)
|
96% |
1058
1.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
399
14.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
386
14.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
214
7.89 IPS |
|
|
Text Classification (SP)
|
100% |
148
197.6 IPS |
|
|
Text Classification (HP)
|
100% |
135
180.2 IPS |
|
|
Text Classification (Q)
|
93% |
127
171.0 IPS |
|
|
Machine Translation (SP)
|
100% |
260
4.48 IPS |
|
|
Machine Translation (HP)
|
100% |
222
3.82 IPS |
|
|
Machine Translation (Q)
|
98% |
222
3.83 IPS |
