iPad15,8
Geekbench AI Score
2898
Single Precision Score
3355
Half Precision Score
3064
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 01 2025 02:08 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad15,8 |
| Model ID | iPad15,8 |
| Motherboard | J482AP |
| 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% |
702
130.5 IPS |
|
|
Image Classification (HP)
|
100% |
983
182.7 IPS |
|
|
Image Classification (Q)
|
96% |
887
165.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2297
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2363
38.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2215
35.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9487
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10381
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
10029
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1140
90.4 IPS |
|
|
Object Detection (HP)
|
100% |
981
77.8 IPS |
|
|
Object Detection (Q)
|
92% |
925
73.8 IPS |
|
|
Face Detection (SP)
|
100% |
3673
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
5017
59.6 IPS |
|
|
Face Detection (Q)
|
100% |
3411
40.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6813
52.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
6556
50.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
6245
48.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17557
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19445
25.0 IPS |
|
|
Style Transfer (Q)
|
96% |
18866
24.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2885
106.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3024
111.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2495
92.1 IPS |
|
|
Text Classification (SP)
|
100% |
2732
3.65 KIPS |
|
|
Text Classification (HP)
|
99% |
4697
6.27 KIPS |
|
|
Text Classification (Q)
|
93% |
4682
6.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
694
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
841
14.5 IPS |
|
|
Machine Translation (Q)
|
98% |
853
14.7 IPS |
