iPad15,7
Geekbench AI Score
2980
Single Precision Score
3198
Half Precision Score
3139
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 03:04 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
704
130.9 IPS |
|
|
Image Classification (HP)
|
100% |
857
159.3 IPS |
|
|
Image Classification (Q)
|
96% |
875
163.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2379
38.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2357
38.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2341
37.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9283
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10334
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9751
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
1022
81.0 IPS |
|
|
Object Detection (HP)
|
100% |
990
78.6 IPS |
|
|
Object Detection (Q)
|
92% |
799
63.8 IPS |
|
|
Face Detection (SP)
|
100% |
4983
59.2 IPS |
|
|
Face Detection (HP)
|
100% |
3671
43.6 IPS |
|
|
Face Detection (Q)
|
100% |
4381
52.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7203
55.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
7830
60.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
6599
51.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17640
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
19636
25.2 IPS |
|
|
Style Transfer (Q)
|
96% |
19114
24.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2836
104.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2711
100.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2642
97.5 IPS |
|
|
Text Classification (SP)
|
100% |
2820
3.76 KIPS |
|
|
Text Classification (HP)
|
99% |
4805
6.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4794
6.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
688
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
738
12.7 IPS |
|
|
Machine Translation (Q)
|
98% |
832
14.4 IPS |
