iPad15,7
Geekbench AI Score
2816
Single Precision Score
5234
Half Precision Score
4232
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | timk |
| Upload Date | December 26 2025 08:56 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1352
251.4 IPS |
|
|
Image Classification (HP)
|
100% |
2634
489.9 IPS |
|
|
Image Classification (Q)
|
96% |
1806
337.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1402
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2120
34.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2682
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6535
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
13273
15.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11418
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
956
75.8 IPS |
|
|
Object Detection (HP)
|
97% |
1870
148.9 IPS |
|
|
Object Detection (Q)
|
94% |
1908
152.1 IPS |
|
|
Face Detection (SP)
|
100% |
2037
24.2 IPS |
|
|
Face Detection (HP)
|
100% |
4506
53.5 IPS |
|
|
Face Detection (Q)
|
100% |
2443
29.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5030
38.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11130
86.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7564
59.1 IPS |
|
|
Style Transfer (SP)
|
100% |
13181
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
22556
29.0 IPS |
|
|
Style Transfer (Q)
|
96% |
16196
20.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2975
109.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4406
162.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2456
90.7 IPS |
|
|
Text Classification (SP)
|
100% |
2445
3.26 KIPS |
|
|
Text Classification (HP)
|
99% |
3883
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3936
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2703
46.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5755
99.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6039
104.4 IPS |
