iPad16,1
Geekbench AI Score
3788
Single Precision Score
26796
Half Precision Score
36030
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 22 2025 01:55 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1561
290.4 IPS |
|
|
Image Classification (HP)
|
100% |
11620
2.16 KIPS |
|
|
Image Classification (Q)
|
97% |
14187
2.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1569
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
16787
272.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
21607
350.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6955
8.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
105615
123.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
202229
237.0 IPS |
|
|
Object Detection (SP)
|
100% |
1676
133.0 IPS |
|
|
Object Detection (HP)
|
100% |
13581
1.08 KIPS |
|
|
Object Detection (Q)
|
91% |
17193
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
3175
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
34352
408.2 IPS |
|
|
Face Detection (Q)
|
100% |
47505
564.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6694
51.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
78051
601.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
122865
960.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20417
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
203855
262.1 IPS |
|
|
Style Transfer (Q)
|
96% |
247169
319.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4525
167.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34415
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57584
2.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3237
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5631
7.52 KIPS |
|
|
Text Classification (Q)
|
93% |
5554
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3356
57.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6441
111.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7499
129.6 IPS |
