iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3090
Single Precision Score
5431
Half Precision Score
4440
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | February 13 2026 02:42 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,5 |
| Motherboard | J517xAP |
| 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 | 15.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1304
242.4 IPS |
|
|
Image Classification (HP)
|
100% |
2210
411.0 IPS |
|
|
Image Classification (Q)
|
96% |
1574
293.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1342
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2210
35.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2514
40.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6001
7.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
14115
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12130
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1378
109.3 IPS |
|
|
Object Detection (HP)
|
97% |
2410
191.9 IPS |
|
|
Object Detection (Q)
|
94% |
1783
142.1 IPS |
|
|
Face Detection (SP)
|
100% |
2967
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
5420
64.4 IPS |
|
|
Face Detection (Q)
|
100% |
3159
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5475
42.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10411
80.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7365
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16474
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26240
33.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21876
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3462
127.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4633
171.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3520
130.0 IPS |
|
|
Text Classification (SP)
|
100% |
2375
3.17 KIPS |
|
|
Text Classification (HP)
|
99% |
4217
5.63 KIPS |
|
|
Text Classification (Q)
|
93% |
4159
5.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
2494
43.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4649
80.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4670
80.7 IPS |
