iPad Pro (11-inch 3rd generation)
Geekbench AI Score
5188
Single Precision Score
6047
Half Precision Score
5556
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | cuber |
| Upload Date | September 23 2025 08:44 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,4 |
| Motherboard | J517AP |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2088
388.2 IPS |
|
|
Image Classification (HP)
|
100% |
2292
426.2 IPS |
|
|
Image Classification (Q)
|
96% |
1959
365.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3994
64.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4301
69.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4140
67.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
16856
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19028
22.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
18343
21.5 IPS |
|
|
Object Detection (SP)
|
100% |
2696
213.9 IPS |
|
|
Object Detection (HP)
|
100% |
2679
212.5 IPS |
|
|
Object Detection (Q)
|
92% |
2433
194.2 IPS |
|
|
Face Detection (SP)
|
100% |
6871
81.6 IPS |
|
|
Face Detection (HP)
|
100% |
8507
101.1 IPS |
|
|
Face Detection (Q)
|
100% |
7118
84.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12454
95.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
14062
108.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
12755
99.6 IPS |
|
|
Style Transfer (SP)
|
100% |
28632
36.8 IPS |
|
|
Style Transfer (HP)
|
100% |
35219
45.3 IPS |
|
|
Style Transfer (Q)
|
96% |
34177
44.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6286
232.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7149
264.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5880
217.1 IPS |
|
|
Text Classification (SP)
|
100% |
2430
3.24 KIPS |
|
|
Text Classification (HP)
|
99% |
4247
5.67 KIPS |
|
|
Text Classification (Q)
|
93% |
4218
5.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
996
17.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1018
17.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1007
17.4 IPS |
