iPad16,1
Geekbench AI Score
2101
Single Precision Score
2293
Half Precision Score
2273
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 07 2025 02:18 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
955
177.6 IPS |
|
|
Image Classification (HP)
|
100% |
889
165.3 IPS |
|
|
Image Classification (Q)
|
96% |
1318
246.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3517
57.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3567
57.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3700
60.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
12034
14.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
13221
15.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
13035
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
2131
169.0 IPS |
|
|
Object Detection (HP)
|
100% |
1637
129.8 IPS |
|
|
Object Detection (Q)
|
92% |
1514
120.9 IPS |
|
|
Face Detection (SP)
|
100% |
4895
58.2 IPS |
|
|
Face Detection (HP)
|
100% |
6946
82.5 IPS |
|
|
Face Detection (Q)
|
100% |
5997
71.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9973
76.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
11128
85.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10179
79.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25755
33.1 IPS |
|
|
Style Transfer (HP)
|
100% |
29223
37.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30172
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4868
179.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4578
169.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3737
138.0 IPS |
|
|
Text Classification (SP)
|
100% |
3185
4.25 KIPS |
|
|
Text Classification (HP)
|
99% |
5686
7.59 KIPS |
|
|
Text Classification (Q)
|
93% |
5570
7.48 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
9.34 IPS |
|
|
Machine Translation (HP)
|
0% |
0
10.8 IPS |
|
|
Machine Translation (Q)
|
0% |
0
9.69 IPS |
