iPad16,1
Geekbench AI Score
3924
Single Precision Score
4092
Half Precision Score
4031
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | funskeen |
| Upload Date | December 08 2024 10:56 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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 | 7.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1266
235.5 IPS |
|
|
Image Classification (HP)
|
100% |
804
149.5 IPS |
|
|
Image Classification (Q)
|
97% |
959
178.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3102
50.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3400
55.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3523
57.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13006
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
13451
15.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12825
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
2201
174.5 IPS |
|
|
Object Detection (HP)
|
100% |
1568
124.4 IPS |
|
|
Object Detection (Q)
|
91% |
1563
124.9 IPS |
|
|
Face Detection (SP)
|
100% |
4883
58.0 IPS |
|
|
Face Detection (HP)
|
100% |
7360
87.5 IPS |
|
|
Face Detection (Q)
|
100% |
5351
63.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10523
81.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
10935
84.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
9478
74.1 IPS |
|
|
Style Transfer (SP)
|
100% |
27076
34.8 IPS |
|
|
Style Transfer (HP)
|
100% |
31229
40.1 IPS |
|
|
Style Transfer (Q)
|
96% |
29361
37.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4195
154.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3882
143.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3664
135.3 IPS |
|
|
Text Classification (SP)
|
100% |
3210
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
5532
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5493
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
411
7.08 IPS |
|
|
Machine Translation (HP)
|
100% |
424
7.30 IPS |
|
|
Machine Translation (Q)
|
98% |
559
9.66 IPS |
