iPad15,6
Geekbench AI Score
4133
Single Precision Score
7072
Half Precision Score
5725
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 14 2025 02:48 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1615
300.3 IPS |
|
|
Image Classification (HP)
|
100% |
2994
556.9 IPS |
|
|
Image Classification (Q)
|
96% |
2104
393.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1901
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2959
48.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3265
52.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8953
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17525
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15091
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1821
144.4 IPS |
|
|
Object Detection (HP)
|
97% |
3244
258.3 IPS |
|
|
Object Detection (Q)
|
94% |
2351
187.4 IPS |
|
|
Face Detection (SP)
|
100% |
3550
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
6836
81.2 IPS |
|
|
Face Detection (Q)
|
100% |
3986
47.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7172
55.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12808
99.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
9015
70.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22491
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34551
44.4 IPS |
|
|
Style Transfer (Q)
|
96% |
28599
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5245
193.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6128
226.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4467
165.0 IPS |
|
|
Text Classification (SP)
|
100% |
2972
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5327
7.11 KIPS |
|
|
Text Classification (Q)
|
93% |
5346
7.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3262
56.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6293
108.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6329
109.4 IPS |
