iPad16,1
Geekbench AI Score
4298
Single Precision Score
4715
Half Precision Score
4910
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 25 2025 05:50 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad16,1 |
| Model ID | iPad16,1 |
| Motherboard | J410AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1163
216.3 IPS |
|
|
Image Classification (HP)
|
100% |
854
158.7 IPS |
|
|
Image Classification (Q)
|
96% |
1281
239.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3692
59.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3892
63.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3766
61.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
12090
14.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
13992
16.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
13585
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
1521
120.6 IPS |
|
|
Object Detection (HP)
|
100% |
1552
123.1 IPS |
|
|
Object Detection (Q)
|
92% |
1901
151.8 IPS |
|
|
Face Detection (SP)
|
100% |
5771
68.6 IPS |
|
|
Face Detection (HP)
|
100% |
8329
99.0 IPS |
|
|
Face Detection (Q)
|
100% |
6529
77.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10510
81.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
11339
87.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10175
79.5 IPS |
|
|
Style Transfer (SP)
|
100% |
26496
34.1 IPS |
|
|
Style Transfer (HP)
|
100% |
30779
39.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30628
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4561
168.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3486
128.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4300
158.8 IPS |
|
|
Text Classification (SP)
|
100% |
3250
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5445
7.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5430
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1146
19.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1364
23.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1378
23.8 IPS |
