iPad15,3
Geekbench AI Score
8317
Single Precision Score
9361
Half Precision Score
8549
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 19 2025 11:27 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4035
750.3 IPS |
|
|
Image Classification (HP)
|
100% |
4231
786.9 IPS |
|
|
Image Classification (Q)
|
96% |
3851
719.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
6253
101.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6435
104.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6274
101.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
22919
26.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
23629
27.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
23331
27.3 IPS |
|
|
Object Detection (SP)
|
100% |
4194
332.7 IPS |
|
|
Object Detection (HP)
|
100% |
4616
366.1 IPS |
|
|
Object Detection (Q)
|
92% |
4210
336.1 IPS |
|
|
Face Detection (SP)
|
100% |
11436
135.9 IPS |
|
|
Face Detection (HP)
|
100% |
14328
170.3 IPS |
|
|
Face Detection (Q)
|
100% |
11557
137.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
18250
140.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
19195
147.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
17754
138.7 IPS |
|
|
Style Transfer (SP)
|
100% |
48217
62.0 IPS |
|
|
Style Transfer (HP)
|
100% |
54064
69.5 IPS |
|
|
Style Transfer (Q)
|
96% |
52795
68.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10424
384.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10172
375.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9006
332.5 IPS |
|
|
Text Classification (SP)
|
100% |
2944
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5300
7.07 KIPS |
|
|
Text Classification (Q)
|
93% |
5351
7.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
2115
36.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2171
37.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1684
29.1 IPS |
