iPad16,1
Geekbench AI Score
3794
Single Precision Score
26769
Half Precision Score
36009
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 21 2025 06:31 PM |
| Views | 3 |
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 | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1603
298.0 IPS |
|
|
Image Classification (HP)
|
100% |
11161
2.08 KIPS |
|
|
Image Classification (Q)
|
97% |
14424
2.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1585
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16614
269.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
21497
348.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6824
7.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
105007
122.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
202735
237.6 IPS |
|
|
Object Detection (SP)
|
100% |
1662
131.8 IPS |
|
|
Object Detection (HP)
|
100% |
13538
1.07 KIPS |
|
|
Object Detection (Q)
|
91% |
17835
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
3190
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
34500
409.9 IPS |
|
|
Face Detection (Q)
|
100% |
47227
561.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6702
51.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
78385
603.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
122897
960.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20072
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
204569
263.0 IPS |
|
|
Style Transfer (Q)
|
96% |
247838
319.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4496
166.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34765
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57263
2.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3254
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5667
7.56 KIPS |
|
|
Text Classification (Q)
|
93% |
5525
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3420
58.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6578
113.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7185
124.2 IPS |
