iPad15,8
Geekbench AI Score
3446
Single Precision Score
6269
Half Precision Score
5143
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Devon25836 |
| Upload Date | October 09 2025 12:05 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1316
244.8 IPS |
|
|
Image Classification (HP)
|
100% |
2621
487.4 IPS |
|
|
Image Classification (Q)
|
96% |
1822
340.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1406
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2110
34.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2670
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6514
7.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
15369
17.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
13293
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1479
117.3 IPS |
|
|
Object Detection (HP)
|
97% |
2952
235.0 IPS |
|
|
Object Detection (Q)
|
94% |
2114
168.5 IPS |
|
|
Face Detection (SP)
|
100% |
3180
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
6078
72.2 IPS |
|
|
Face Detection (Q)
|
100% |
3513
41.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5960
45.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11716
90.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8140
63.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18668
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29241
37.6 IPS |
|
|
Style Transfer (Q)
|
96% |
24284
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3884
143.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5151
190.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3953
146.0 IPS |
|
|
Text Classification (SP)
|
100% |
2809
3.75 KIPS |
|
|
Text Classification (HP)
|
99% |
4953
6.61 KIPS |
|
|
Text Classification (Q)
|
93% |
4848
6.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3438
59.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7038
121.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7119
123.0 IPS |
