iPad15,3
Geekbench AI Score
4138
Single Precision Score
31172
Half Precision Score
34861
Quantized Score
Geekbench AI 1.3.0-Beta2 for iOS AArch64
Result Information
| Upload Date | April 10 2025 03:42 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| Model | iPad15,3 |
| Model ID | iPad15,3 |
| Motherboard | J607AP |
| 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 | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1617
300.7 IPS |
|
|
Image Classification (HP)
|
100% |
17457
3.25 KIPS |
|
|
Image Classification (Q)
|
97% |
19994
3.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1905
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22009
356.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
27155
440.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8951
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
122234
142.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
120823
141.6 IPS |
|
|
Object Detection (SP)
|
100% |
1826
144.9 IPS |
|
|
Object Detection (HP)
|
100% |
18243
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
20574
1.64 KIPS |
|
|
Face Detection (SP)
|
100% |
3546
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
39338
467.4 IPS |
|
|
Face Detection (Q)
|
100% |
50950
605.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7177
55.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
97983
754.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
123450
965.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22528
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
229345
294.8 IPS |
|
|
Style Transfer (Q)
|
96% |
220818
285.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5258
194.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46877
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55950
2.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2982
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5350
7.14 KIPS |
|
|
Text Classification (Q)
|
93% |
5329
7.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3260
56.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4562
78.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4744
82.0 IPS |
