iPad16,1
Geekbench AI Score
4329
Single Precision Score
4848
Half Precision Score
4752
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 01:53 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad16,1 |
| Model ID | iPad16,1 |
| Motherboard | J410AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.77 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
974
181.1 IPS |
|
|
Image Classification (HP)
|
100% |
1227
228.2 IPS |
|
|
Image Classification (Q)
|
96% |
1297
242.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3583
58.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3870
62.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3678
59.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12076
14.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
13917
16.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
13436
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1808
143.4 IPS |
|
|
Object Detection (HP)
|
100% |
1473
116.8 IPS |
|
|
Object Detection (Q)
|
92% |
1592
127.1 IPS |
|
|
Face Detection (SP)
|
100% |
6710
79.7 IPS |
|
|
Face Detection (HP)
|
100% |
7955
94.5 IPS |
|
|
Face Detection (Q)
|
100% |
6533
77.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10330
79.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
11362
87.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10143
79.2 IPS |
|
|
Style Transfer (SP)
|
100% |
26244
33.7 IPS |
|
|
Style Transfer (HP)
|
100% |
30711
39.5 IPS |
|
|
Style Transfer (Q)
|
96% |
29830
38.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4709
173.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3721
137.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4151
153.3 IPS |
|
|
Text Classification (SP)
|
100% |
3245
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5584
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5508
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1093
18.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1278
22.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1275
22.0 IPS |
