iPad16,1
Geekbench AI Score
3791
Single Precision Score
26688
Half Precision Score
36365
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 22 2025 12:05 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1593
296.2 IPS |
|
|
Image Classification (HP)
|
100% |
10723
1.99 KIPS |
|
|
Image Classification (Q)
|
97% |
15465
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1576
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16618
269.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
21583
349.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6924
8.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
104264
121.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
206357
241.9 IPS |
|
|
Object Detection (SP)
|
100% |
1673
132.7 IPS |
|
|
Object Detection (HP)
|
100% |
13873
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
17665
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
3156
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
34724
412.6 IPS |
|
|
Face Detection (Q)
|
100% |
47789
567.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6560
50.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
78033
601.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
124389
972.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20009
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
209400
269.2 IPS |
|
|
Style Transfer (Q)
|
96% |
251824
325.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4488
165.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34539
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57316
2.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3254
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5483
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5588
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3492
60.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6619
114.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6934
119.8 IPS |
