iPad16,1
Geekbench AI Score
3760
Single Precision Score
6801
Half Precision Score
5566
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | December 17 2025 03:12 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
1608
299.1 IPS |
|
|
Image Classification (HP)
|
100% |
2926
544.2 IPS |
|
|
Image Classification (Q)
|
96% |
2017
376.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1563
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2343
38.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3035
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6882
8.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
15214
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13092
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1661
131.8 IPS |
|
|
Object Detection (HP)
|
97% |
3240
257.9 IPS |
|
|
Object Detection (Q)
|
94% |
2355
187.7 IPS |
|
|
Face Detection (SP)
|
100% |
3227
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
6873
81.7 IPS |
|
|
Face Detection (Q)
|
100% |
3828
45.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6525
50.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12948
100.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8969
70.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19601
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
31713
40.8 IPS |
|
|
Style Transfer (Q)
|
96% |
25867
33.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4515
166.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5625
207.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4387
162.0 IPS |
|
|
Text Classification (SP)
|
100% |
3149
4.20 KIPS |
|
|
Text Classification (HP)
|
99% |
5243
7.00 KIPS |
|
|
Text Classification (Q)
|
93% |
5177
6.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
3354
57.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7535
130.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7510
129.8 IPS |
