iPad15,3
Geekbench AI Score
4140
Single Precision Score
7017
Half Precision Score
5658
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 14 2025 03:01 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1591
295.9 IPS |
|
|
Image Classification (HP)
|
100% |
2953
549.1 IPS |
|
|
Image Classification (Q)
|
96% |
2055
383.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1882
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2991
48.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3302
53.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8694
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17352
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15059
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1848
146.6 IPS |
|
|
Object Detection (HP)
|
97% |
3289
261.8 IPS |
|
|
Object Detection (Q)
|
94% |
2356
187.8 IPS |
|
|
Face Detection (SP)
|
100% |
3511
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
6906
82.1 IPS |
|
|
Face Detection (Q)
|
100% |
4044
48.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7149
55.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
13540
104.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
9344
73.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22576
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
34085
43.8 IPS |
|
|
Style Transfer (Q)
|
96% |
28299
36.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5282
195.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6036
222.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4408
162.8 IPS |
|
|
Text Classification (SP)
|
100% |
2908
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
5107
6.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5093
6.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3536
60.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5845
101.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5821
100.6 IPS |
