iPad15,3
Geekbench AI Score
8258
Single Precision Score
9258
Half Precision Score
8530
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Wilson53838 |
| Upload Date | October 02 2025 12:49 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.7 |
| 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% |
4022
747.9 IPS |
|
|
Image Classification (HP)
|
100% |
4228
786.3 IPS |
|
|
Image Classification (Q)
|
96% |
3848
718.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
6233
101.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6418
104.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
6229
101.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
22895
26.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
23621
27.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
23345
27.3 IPS |
|
|
Object Detection (SP)
|
100% |
4203
333.4 IPS |
|
|
Object Detection (HP)
|
100% |
4627
367.0 IPS |
|
|
Object Detection (Q)
|
92% |
4225
337.2 IPS |
|
|
Face Detection (SP)
|
100% |
11389
135.3 IPS |
|
|
Face Detection (HP)
|
100% |
14305
170.0 IPS |
|
|
Face Detection (Q)
|
100% |
11566
137.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
18179
140.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
19195
147.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
17790
139.0 IPS |
|
|
Style Transfer (SP)
|
100% |
48727
62.6 IPS |
|
|
Style Transfer (HP)
|
100% |
54068
69.5 IPS |
|
|
Style Transfer (Q)
|
96% |
52820
68.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10415
384.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10139
374.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9011
332.7 IPS |
|
|
Text Classification (SP)
|
100% |
3026
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
5299
7.07 KIPS |
|
|
Text Classification (Q)
|
93% |
5278
7.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1924
33.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1957
33.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1669
28.9 IPS |
