iPad15,7
Geekbench AI Score
3549
Single Precision Score
6205
Half Precision Score
5067
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 03 2025 03:38 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1457
270.9 IPS |
|
|
Image Classification (HP)
|
100% |
2576
479.1 IPS |
|
|
Image Classification (Q)
|
96% |
1808
337.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1478
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2117
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2668
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6453
7.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
14713
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12427
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1545
122.5 IPS |
|
|
Object Detection (HP)
|
97% |
2913
231.9 IPS |
|
|
Object Detection (Q)
|
94% |
2083
166.0 IPS |
|
|
Face Detection (SP)
|
100% |
3264
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
6064
72.0 IPS |
|
|
Face Detection (Q)
|
100% |
3491
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5995
46.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11700
90.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8093
63.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17869
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29361
37.7 IPS |
|
|
Style Transfer (Q)
|
96% |
24084
31.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3980
146.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5122
189.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3929
145.1 IPS |
|
|
Text Classification (SP)
|
100% |
2812
3.75 KIPS |
|
|
Text Classification (HP)
|
99% |
4785
6.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4743
6.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3777
65.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7101
122.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7055
121.9 IPS |
