iPad (6th generation)
Geekbench AI Score
336
Single Precision Score
315
Half Precision Score
250
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Bustycat |
| Upload Date | August 18 2024 06:05 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A10 Fusion |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
196
36.5 IPS |
|
|
Image Classification (HP)
|
100% |
179
33.3 IPS |
|
|
Image Classification (Q)
|
99% |
178
33.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
158
2.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
160
2.60 IPS |
|
|
Image Segmentation (Q)
|
100% |
160
2.60 IPS |
|
|
Pose Estimation (SP)
|
100% |
905
1.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
881
1.03 IPS |
|
|
Pose Estimation (Q)
|
94% |
628
0.74 IPS |
|
|
Object Detection (SP)
|
100% |
172
13.6 IPS |
|
|
Object Detection (HP)
|
100% |
160
12.7 IPS |
|
|
Object Detection (Q)
|
92% |
100
7.95 IPS |
|
|
Face Detection (SP)
|
100% |
378
4.49 IPS |
|
|
Face Detection (HP)
|
100% |
376
4.47 IPS |
|
|
Face Detection (Q)
|
100% |
162
1.93 IPS |
|
|
Depth Estimation (SP)
|
100% |
476
3.67 IPS |
|
|
Depth Estimation (HP)
|
99% |
447
3.45 IPS |
|
|
Depth Estimation (Q)
|
97% |
445
3.44 IPS |
|
|
Style Transfer (SP)
|
100% |
1415
1.82 IPS |
|
|
Style Transfer (HP)
|
100% |
1386
1.78 IPS |
|
|
Style Transfer (Q)
|
100% |
1346
1.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
396
14.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
389
14.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
209
7.75 IPS |
|
|
Text Classification (SP)
|
100% |
148
197.7 IPS |
|
|
Text Classification (HP)
|
100% |
122
162.5 IPS |
|
|
Text Classification (Q)
|
93% |
122
164.0 IPS |
|
|
Machine Translation (SP)
|
100% |
261
4.50 IPS |
|
|
Machine Translation (HP)
|
100% |
220
3.78 IPS |
|
|
Machine Translation (Q)
|
98% |
222
3.83 IPS |
