iPad16,1
Geekbench AI Score
3794
Single Precision Score
6887
Half Precision Score
5628
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 18 2025 02:53 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1607
298.8 IPS |
|
|
Image Classification (HP)
|
100% |
2967
551.9 IPS |
|
|
Image Classification (Q)
|
96% |
2039
380.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1571
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2345
38.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3050
49.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6970
8.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
15454
18.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13226
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1649
130.8 IPS |
|
|
Object Detection (HP)
|
97% |
3253
259.0 IPS |
|
|
Object Detection (Q)
|
94% |
2344
186.8 IPS |
|
|
Face Detection (SP)
|
100% |
3180
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
6883
81.8 IPS |
|
|
Face Detection (Q)
|
100% |
3790
45.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6649
51.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12798
98.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8904
69.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20090
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32718
42.1 IPS |
|
|
Style Transfer (Q)
|
96% |
26873
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4517
166.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5739
211.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4363
161.1 IPS |
|
|
Text Classification (SP)
|
100% |
3224
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5581
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5513
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3444
59.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7443
128.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7592
131.2 IPS |
