iPad16,1
Geekbench AI Score
3900
Single Precision Score
26908
Half Precision Score
36209
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 22 2025 02:01 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.77 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1617
300.6 IPS |
|
|
Image Classification (HP)
|
100% |
11536
2.15 KIPS |
|
|
Image Classification (Q)
|
97% |
14178
2.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1591
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16609
269.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
21435
347.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7479
8.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
107232
125.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
205718
241.1 IPS |
|
|
Object Detection (SP)
|
100% |
1704
135.2 IPS |
|
|
Object Detection (HP)
|
100% |
13955
1.11 KIPS |
|
|
Object Detection (Q)
|
91% |
17533
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
3269
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
34772
413.2 IPS |
|
|
Face Detection (Q)
|
100% |
50884
604.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6949
53.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
78461
604.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
123186
963.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21415
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
207085
266.2 IPS |
|
|
Style Transfer (Q)
|
96% |
246975
318.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4699
173.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34874
1.29 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57800
2.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3235
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5566
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5413
7.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3366
58.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6330
109.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7298
126.1 IPS |
