iPad15,6
Geekbench AI Score
8173
Single Precision Score
9365
Half Precision Score
8634
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 22 2025 07:08 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
4024
748.3 IPS |
|
|
Image Classification (HP)
|
100% |
4227
786.1 IPS |
|
|
Image Classification (Q)
|
96% |
3859
720.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
6246
101.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6441
104.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
6261
101.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
22923
26.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
24038
28.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
23413
27.4 IPS |
|
|
Object Detection (SP)
|
100% |
4191
332.4 IPS |
|
|
Object Detection (HP)
|
100% |
4642
368.2 IPS |
|
|
Object Detection (Q)
|
92% |
4228
337.5 IPS |
|
|
Face Detection (SP)
|
100% |
11450
136.0 IPS |
|
|
Face Detection (HP)
|
100% |
14417
171.3 IPS |
|
|
Face Detection (Q)
|
100% |
11603
137.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
18226
140.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
19730
152.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
18131
141.8 IPS |
|
|
Style Transfer (SP)
|
100% |
48452
62.3 IPS |
|
|
Style Transfer (HP)
|
100% |
54938
70.6 IPS |
|
|
Style Transfer (Q)
|
96% |
53293
68.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10426
385.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11296
417.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9696
358.0 IPS |
|
|
Text Classification (SP)
|
100% |
2973
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5299
7.07 KIPS |
|
|
Text Classification (Q)
|
93% |
5302
7.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1759
30.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1826
31.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1671
28.9 IPS |
