iPad16,1
Geekbench AI Score
3991
Single Precision Score
6967
Half Precision Score
5713
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 11 2025 02:47 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1713
318.6 IPS |
|
|
Image Classification (HP)
|
100% |
2930
544.8 IPS |
|
|
Image Classification (Q)
|
96% |
2040
381.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1642
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2380
38.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3080
49.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8015
9.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
16487
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14104
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
1790
142.0 IPS |
|
|
Object Detection (HP)
|
97% |
3315
263.9 IPS |
|
|
Object Detection (Q)
|
94% |
2388
190.4 IPS |
|
|
Face Detection (SP)
|
100% |
3348
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
6963
82.7 IPS |
|
|
Face Detection (Q)
|
100% |
3945
46.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6964
53.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
12858
99.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9046
70.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21551
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
34713
44.6 IPS |
|
|
Style Transfer (Q)
|
96% |
28535
36.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4974
183.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5668
209.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4404
162.6 IPS |
|
|
Text Classification (SP)
|
100% |
2937
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5273
7.04 KIPS |
|
|
Text Classification (Q)
|
93% |
5086
6.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3462
59.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7618
131.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7675
132.6 IPS |
