iPad15,3
Geekbench AI Score
4087
Single Precision Score
31228
Half Precision Score
35147
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 26 2025 12:10 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPad15,3 |
| Model ID | iPad15,3 |
| Motherboard | J607AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1618
300.9 IPS |
|
|
Image Classification (HP)
|
100% |
17351
3.23 KIPS |
|
|
Image Classification (Q)
|
97% |
21183
3.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1801
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
21942
355.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
26456
428.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8802
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
121704
142.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
121721
142.7 IPS |
|
|
Object Detection (SP)
|
100% |
1816
144.0 IPS |
|
|
Object Detection (HP)
|
100% |
18526
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
20994
1.68 KIPS |
|
|
Face Detection (SP)
|
100% |
3501
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
39343
467.5 IPS |
|
|
Face Detection (Q)
|
100% |
50931
605.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7154
55.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
97880
754.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
122670
959.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22417
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
230288
296.0 IPS |
|
|
Style Transfer (Q)
|
96% |
222144
286.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5217
192.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47222
1.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57573
2.13 KIPS |
|
|
Text Classification (SP)
|
100% |
2976
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5401
7.21 KIPS |
|
|
Text Classification (Q)
|
93% |
5267
7.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3207
55.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4544
78.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4774
82.5 IPS |
