iPad16,1
Geekbench AI Score
3778
Single Precision Score
27046
Half Precision Score
37111
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 15 2025 04:05 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| Model | iPad16,1 |
| Model ID | iPad16,1 |
| Motherboard | J410AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1679
312.2 IPS |
|
|
Image Classification (HP)
|
100% |
10733
2.00 KIPS |
|
|
Image Classification (Q)
|
97% |
15251
2.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1615
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16503
267.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
21413
347.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6889
8.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
101425
118.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
193863
227.2 IPS |
|
|
Object Detection (SP)
|
100% |
1720
136.4 IPS |
|
|
Object Detection (HP)
|
100% |
13871
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
17820
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
3150
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
35356
420.1 IPS |
|
|
Face Detection (Q)
|
100% |
51343
610.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6529
50.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
77209
594.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
125656
982.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19415
25.0 IPS |
|
|
Style Transfer (HP)
|
100% |
208767
268.4 IPS |
|
|
Style Transfer (Q)
|
96% |
251907
325.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4500
166.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34319
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54782
2.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2963
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5316
7.09 KIPS |
|
|
Text Classification (Q)
|
93% |
5285
7.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3464
59.7 IPS |
|
|
Machine Translation (HP)
|
100% |
8086
139.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9334
161.3 IPS |
