iPad16,1
Geekbench AI Score
3864
Single Precision Score
6878
Half Precision Score
5592
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | March 31 2025 01:37 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1708
317.6 IPS |
|
|
Image Classification (HP)
|
100% |
2979
554.0 IPS |
|
|
Image Classification (Q)
|
96% |
2044
381.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1627
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2377
38.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3048
49.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7426
8.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
15095
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13226
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1713
135.9 IPS |
|
|
Object Detection (HP)
|
97% |
3278
260.9 IPS |
|
|
Object Detection (Q)
|
94% |
2328
185.5 IPS |
|
|
Face Detection (SP)
|
100% |
3189
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
6749
80.2 IPS |
|
|
Face Detection (Q)
|
100% |
3764
44.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6586
50.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
12580
97.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8720
68.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19824
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
32494
41.8 IPS |
|
|
Style Transfer (Q)
|
96% |
26890
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4596
169.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6057
223.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4371
161.4 IPS |
|
|
Text Classification (SP)
|
100% |
3257
4.35 KIPS |
|
|
Text Classification (HP)
|
100% |
5695
7.60 KIPS |
|
|
Text Classification (Q)
|
93% |
5703
7.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3370
58.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7115
122.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7093
122.6 IPS |
