iPad16,1
Geekbench AI Score
4186
Single Precision Score
4778
Half Precision Score
4697
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 21 2025 02:18 AM |
| Views | 2 |
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 | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
920
171.2 IPS |
|
|
Image Classification (HP)
|
100% |
1140
212.0 IPS |
|
|
Image Classification (Q)
|
96% |
1293
241.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3580
58.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3811
61.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3692
59.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12115
14.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
13947
16.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
13553
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
1530
121.4 IPS |
|
|
Object Detection (HP)
|
100% |
1524
120.8 IPS |
|
|
Object Detection (Q)
|
92% |
1399
111.6 IPS |
|
|
Face Detection (SP)
|
100% |
6716
79.8 IPS |
|
|
Face Detection (HP)
|
100% |
7822
92.9 IPS |
|
|
Face Detection (Q)
|
100% |
6314
75.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10498
80.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
10945
84.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10187
79.6 IPS |
|
|
Style Transfer (SP)
|
100% |
26508
34.1 IPS |
|
|
Style Transfer (HP)
|
100% |
30905
39.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30081
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4086
150.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3666
135.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4303
158.9 IPS |
|
|
Text Classification (SP)
|
100% |
3223
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5443
7.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5473
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1101
19.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1274
22.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1269
21.9 IPS |
