iPad (7th generation)
Geekbench AI Score
335
Single Precision Score
307
Half Precision Score
246
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | aguijon |
| Upload Date | August 28 2024 09:19 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A10 Fusion |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPad (7th generation) |
| Model ID | iPad7,12 |
| Motherboard | J172AP |
| 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 | 2.93 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
197
36.7 IPS |
|
|
Image Classification (HP)
|
100% |
177
33.0 IPS |
|
|
Image Classification (Q)
|
99% |
171
31.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
150
2.43 IPS |
|
|
Image Segmentation (HP)
|
100% |
151
2.44 IPS |
|
|
Image Segmentation (Q)
|
100% |
147
2.38 IPS |
|
|
Pose Estimation (SP)
|
100% |
900
1.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
785
0.92 IPS |
|
|
Pose Estimation (Q)
|
94% |
613
0.72 IPS |
|
|
Object Detection (SP)
|
100% |
172
13.7 IPS |
|
|
Object Detection (HP)
|
100% |
162
12.8 IPS |
|
|
Object Detection (Q)
|
92% |
100
8.01 IPS |
|
|
Face Detection (SP)
|
100% |
382
4.54 IPS |
|
|
Face Detection (HP)
|
100% |
383
4.54 IPS |
|
|
Face Detection (Q)
|
100% |
165
1.96 IPS |
|
|
Depth Estimation (SP)
|
100% |
498
3.84 IPS |
|
|
Depth Estimation (HP)
|
99% |
433
3.33 IPS |
|
|
Depth Estimation (Q)
|
97% |
429
3.32 IPS |
|
|
Style Transfer (SP)
|
100% |
1372
1.76 IPS |
|
|
Style Transfer (HP)
|
100% |
1285
1.65 IPS |
|
|
Style Transfer (Q)
|
100% |
1318
1.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
388
14.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
384
14.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
209
7.75 IPS |
|
|
Text Classification (SP)
|
100% |
147
196.6 IPS |
|
|
Text Classification (HP)
|
100% |
122
162.3 IPS |
|
|
Text Classification (Q)
|
93% |
125
167.7 IPS |
|
|
Machine Translation (SP)
|
100% |
269
4.63 IPS |
|
|
Machine Translation (HP)
|
100% |
225
3.87 IPS |
|
|
Machine Translation (Q)
|
98% |
220
3.80 IPS |
