iPad15,5
Geekbench AI Score
4140
Single Precision Score
7109
Half Precision Score
5771
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 01 2025 11:02 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPad15,5 |
| Model ID | iPad15,5 |
| Motherboard | J637AP |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1610
299.4 IPS |
|
|
Image Classification (HP)
|
100% |
2941
546.9 IPS |
|
|
Image Classification (Q)
|
96% |
2085
389.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1918
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2980
48.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3335
54.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8992
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17547
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15103
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1822
144.5 IPS |
|
|
Object Detection (HP)
|
97% |
3260
259.6 IPS |
|
|
Object Detection (Q)
|
94% |
2384
190.0 IPS |
|
|
Face Detection (SP)
|
100% |
3569
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
6943
82.5 IPS |
|
|
Face Detection (Q)
|
100% |
4039
48.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7169
55.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12907
99.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
9134
71.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22510
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34717
44.6 IPS |
|
|
Style Transfer (Q)
|
96% |
28729
37.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5244
193.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6104
225.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4468
165.0 IPS |
|
|
Text Classification (SP)
|
100% |
2920
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5410
7.22 KIPS |
|
|
Text Classification (Q)
|
93% |
5385
7.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3320
57.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6409
110.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6418
110.9 IPS |
