iPad15,7
Geekbench AI Score
3108
Single Precision Score
3226
Half Precision Score
3019
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 11 2025 03:52 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| Model | iPad15,7 |
| Model ID | iPad15,7 |
| Motherboard | J481AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 5 Cores |
| Identifier | ARM |
| Base Frequency | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1023
190.2 IPS |
|
|
Image Classification (HP)
|
100% |
963
179.0 IPS |
|
|
Image Classification (Q)
|
96% |
570
106.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2302
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2289
37.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2191
35.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9316
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10350
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
10023
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1145
90.8 IPS |
|
|
Object Detection (HP)
|
100% |
1105
87.7 IPS |
|
|
Object Detection (Q)
|
92% |
884
70.6 IPS |
|
|
Face Detection (SP)
|
100% |
4651
55.3 IPS |
|
|
Face Detection (HP)
|
100% |
3733
44.4 IPS |
|
|
Face Detection (Q)
|
100% |
4127
49.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6489
50.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
6488
50.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
6786
53.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17708
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
19390
24.9 IPS |
|
|
Style Transfer (Q)
|
96% |
18807
24.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2874
106.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2904
107.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2554
94.3 IPS |
|
|
Text Classification (SP)
|
100% |
2719
3.63 KIPS |
|
|
Text Classification (HP)
|
100% |
4863
6.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4931
6.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
803
13.8 IPS |
|
|
Machine Translation (HP)
|
100% |
731
12.6 IPS |
|
|
Machine Translation (Q)
|
98% |
858
14.8 IPS |
