iPad16,1
Geekbench AI Score
3866
Single Precision Score
27145
Half Precision Score
36529
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 16 2025 02:11 AM |
| Views | 11 |
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% |
1601
297.7 IPS |
|
|
Image Classification (HP)
|
100% |
11357
2.11 KIPS |
|
|
Image Classification (Q)
|
97% |
15483
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1583
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16607
269.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
21505
348.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7393
8.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
106867
124.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
206033
241.5 IPS |
|
|
Object Detection (SP)
|
100% |
1686
133.7 IPS |
|
|
Object Detection (HP)
|
100% |
13978
1.11 KIPS |
|
|
Object Detection (Q)
|
91% |
18538
1.48 KIPS |
|
|
Face Detection (SP)
|
100% |
3206
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
34739
412.8 IPS |
|
|
Face Detection (Q)
|
100% |
47854
568.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6792
52.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
78522
605.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
123485
965.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21151
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
207440
266.7 IPS |
|
|
Style Transfer (Q)
|
96% |
247458
319.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4672
172.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37070
1.37 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57065
2.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3236
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5493
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5473
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3391
58.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6693
115.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7285
125.9 IPS |
