iPad15,3
Geekbench AI Score
8254
Single Precision Score
9189
Half Precision Score
8525
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | rgba |
| Upload Date | August 21 2025 06:56 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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 | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4003
744.4 IPS |
|
|
Image Classification (HP)
|
100% |
4226
786.0 IPS |
|
|
Image Classification (Q)
|
96% |
3846
718.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
6251
101.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6459
104.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
6236
101.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
22918
26.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
23626
27.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
23325
27.3 IPS |
|
|
Object Detection (SP)
|
100% |
4196
332.8 IPS |
|
|
Object Detection (HP)
|
100% |
4618
366.3 IPS |
|
|
Object Detection (Q)
|
92% |
4230
337.7 IPS |
|
|
Face Detection (SP)
|
100% |
11455
136.1 IPS |
|
|
Face Detection (HP)
|
100% |
14342
170.4 IPS |
|
|
Face Detection (Q)
|
100% |
11575
137.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
18244
140.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
19183
147.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
17733
138.5 IPS |
|
|
Style Transfer (SP)
|
100% |
48112
61.8 IPS |
|
|
Style Transfer (HP)
|
100% |
54084
69.5 IPS |
|
|
Style Transfer (Q)
|
96% |
52811
68.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10416
384.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10145
374.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8994
332.1 IPS |
|
|
Text Classification (SP)
|
100% |
2984
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5297
7.07 KIPS |
|
|
Text Classification (Q)
|
93% |
5290
7.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1952
33.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1803
31.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1662
28.7 IPS |
