iPad15,3
Geekbench AI Score
4119
Single Precision Score
7076
Half Precision Score
5715
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 02 2025 02:05 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1589
295.5 IPS |
|
|
Image Classification (HP)
|
100% |
2967
551.7 IPS |
|
|
Image Classification (Q)
|
96% |
2040
380.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1888
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2919
47.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3227
52.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8945
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17514
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15076
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1816
144.1 IPS |
|
|
Object Detection (HP)
|
97% |
3226
256.8 IPS |
|
|
Object Detection (Q)
|
94% |
2338
186.4 IPS |
|
|
Face Detection (SP)
|
100% |
3559
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
6850
81.4 IPS |
|
|
Face Detection (Q)
|
100% |
3989
47.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7150
55.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12784
98.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
9051
70.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22530
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
34583
44.5 IPS |
|
|
Style Transfer (Q)
|
96% |
28626
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5238
193.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6136
226.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4470
165.1 IPS |
|
|
Text Classification (SP)
|
100% |
2944
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5437
7.26 KIPS |
|
|
Text Classification (Q)
|
93% |
5419
7.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3270
56.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6371
110.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6405
110.7 IPS |
