iPad16,1
Geekbench AI Score
4227
Single Precision Score
4825
Half Precision Score
4799
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 27 2025 03:21 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
968
180.0 IPS |
|
|
Image Classification (HP)
|
100% |
1013
188.4 IPS |
|
|
Image Classification (Q)
|
96% |
1294
241.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3613
58.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3826
62.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3799
61.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12186
14.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
13997
16.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
13657
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1512
119.9 IPS |
|
|
Object Detection (HP)
|
100% |
1432
113.6 IPS |
|
|
Object Detection (Q)
|
92% |
1368
109.2 IPS |
|
|
Face Detection (SP)
|
100% |
6492
77.1 IPS |
|
|
Face Detection (HP)
|
100% |
7851
93.3 IPS |
|
|
Face Detection (Q)
|
100% |
6374
75.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10605
81.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
11322
87.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10207
79.7 IPS |
|
|
Style Transfer (SP)
|
100% |
26481
34.0 IPS |
|
|
Style Transfer (HP)
|
100% |
30541
39.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30285
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4194
154.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4727
174.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4382
161.8 IPS |
|
|
Text Classification (SP)
|
100% |
3221
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5429
7.25 KIPS |
|
|
Text Classification (Q)
|
93% |
5483
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1149
19.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1266
21.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1493
25.8 IPS |
