iPad16,1
Geekbench AI Score
4198
Single Precision Score
4707
Half Precision Score
4580
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 08 2025 02:29 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
977
181.7 IPS |
|
|
Image Classification (HP)
|
100% |
867
161.2 IPS |
|
|
Image Classification (Q)
|
96% |
907
169.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3613
58.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3831
62.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3662
59.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
12101
14.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
13907
16.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
13387
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1605
127.3 IPS |
|
|
Object Detection (HP)
|
100% |
1596
126.6 IPS |
|
|
Object Detection (Q)
|
92% |
1627
129.9 IPS |
|
|
Face Detection (SP)
|
100% |
5284
62.8 IPS |
|
|
Face Detection (HP)
|
100% |
6436
76.5 IPS |
|
|
Face Detection (Q)
|
100% |
5960
70.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10234
78.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
11141
85.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10210
79.7 IPS |
|
|
Style Transfer (SP)
|
100% |
26061
33.5 IPS |
|
|
Style Transfer (HP)
|
100% |
30060
38.6 IPS |
|
|
Style Transfer (Q)
|
96% |
29907
38.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4950
182.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4673
172.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3975
146.8 IPS |
|
|
Text Classification (SP)
|
100% |
3261
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5647
7.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5585
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1090
18.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1274
21.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1391
24.0 IPS |
