iPad15,6
Geekbench AI Score
4053
Single Precision Score
7142
Half Precision Score
5776
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 20 2025 04:25 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad15,6 |
| Model ID | iPad15,6 |
| Motherboard | J638AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1538
286.0 IPS |
|
|
Image Classification (HP)
|
100% |
2971
552.5 IPS |
|
|
Image Classification (Q)
|
96% |
2090
390.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1841
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2950
47.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3272
53.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8425
9.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
17562
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15115
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1725
136.8 IPS |
|
|
Object Detection (HP)
|
97% |
3250
258.7 IPS |
|
|
Object Detection (Q)
|
94% |
2353
187.6 IPS |
|
|
Face Detection (SP)
|
100% |
3505
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
6845
81.3 IPS |
|
|
Face Detection (Q)
|
100% |
3996
47.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7087
54.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12840
99.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9075
70.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22010
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33920
43.6 IPS |
|
|
Style Transfer (Q)
|
96% |
28173
36.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4998
184.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6137
226.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4465
164.9 IPS |
|
|
Text Classification (SP)
|
100% |
3243
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5540
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5520
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3283
56.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6816
117.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6750
116.7 IPS |
