iPad15,7
Geekbench AI Score
3068
Single Precision Score
3291
Half Precision Score
3127
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 02:52 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad15,7 |
| Model ID | iPad15,7 |
| Motherboard | J481AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 5 Cores |
| Identifier | ARM |
| Base Frequency | 3.45 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
714
132.8 IPS |
|
|
Image Classification (HP)
|
100% |
520
96.8 IPS |
|
|
Image Classification (Q)
|
96% |
567
105.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2333
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2343
38.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2285
37.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9489
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10377
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
10386
12.2 IPS |
|
|
Object Detection (SP)
|
100% |
1024
81.2 IPS |
|
|
Object Detection (HP)
|
100% |
1047
83.0 IPS |
|
|
Object Detection (Q)
|
92% |
927
74.0 IPS |
|
|
Face Detection (SP)
|
100% |
5041
59.9 IPS |
|
|
Face Detection (HP)
|
100% |
5054
60.1 IPS |
|
|
Face Detection (Q)
|
100% |
4292
51.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7594
58.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
8086
62.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
7495
58.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17937
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
20076
25.8 IPS |
|
|
Style Transfer (Q)
|
96% |
19409
25.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2997
110.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3276
121.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3053
112.7 IPS |
|
|
Text Classification (SP)
|
100% |
2837
3.79 KIPS |
|
|
Text Classification (HP)
|
99% |
4848
6.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4819
6.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
783
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
866
14.9 IPS |
|
|
Machine Translation (Q)
|
98% |
782
13.5 IPS |
