iPad16,1
Geekbench AI Score
4242
Single Precision Score
4537
Half Precision Score
4530
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 20 2025 03:03 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 | 3.77 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
841
156.4 IPS |
|
|
Image Classification (HP)
|
100% |
806
150.0 IPS |
|
|
Image Classification (Q)
|
96% |
953
177.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3609
58.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3816
61.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3669
59.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
12161
14.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
13921
16.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
13506
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
1620
128.5 IPS |
|
|
Object Detection (HP)
|
100% |
1458
115.6 IPS |
|
|
Object Detection (Q)
|
92% |
1302
104.0 IPS |
|
|
Face Detection (SP)
|
100% |
6705
79.7 IPS |
|
|
Face Detection (HP)
|
100% |
6152
73.1 IPS |
|
|
Face Detection (Q)
|
100% |
6424
76.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10473
80.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
11353
87.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9991
78.0 IPS |
|
|
Style Transfer (SP)
|
100% |
26448
34.0 IPS |
|
|
Style Transfer (HP)
|
100% |
30754
39.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30052
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4780
176.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3892
143.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3749
138.4 IPS |
|
|
Text Classification (SP)
|
100% |
3244
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5512
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5550
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1096
18.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1285
22.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1475
25.5 IPS |
