iPad15,6
Geekbench AI Score
4148
Single Precision Score
30747
Half Precision Score
34251
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | March 08 2025 04:38 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1590
295.7 IPS |
|
|
Image Classification (HP)
|
100% |
17206
3.20 KIPS |
|
|
Image Classification (Q)
|
97% |
19547
3.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1902
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
21317
345.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
25922
420.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8618
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
121708
142.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
121201
142.1 IPS |
|
|
Object Detection (SP)
|
100% |
1845
146.4 IPS |
|
|
Object Detection (HP)
|
100% |
18051
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
20184
1.61 KIPS |
|
|
Face Detection (SP)
|
100% |
3527
41.9 IPS |
|
|
Face Detection (HP)
|
100% |
38427
456.6 IPS |
|
|
Face Detection (Q)
|
100% |
49362
586.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7140
55.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
97857
753.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
122880
960.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22540
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
229590
295.1 IPS |
|
|
Style Transfer (Q)
|
96% |
220805
284.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5324
196.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46841
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55122
2.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2915
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5139
6.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5084
6.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3561
61.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4510
77.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4777
82.6 IPS |
