iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3095
Single Precision Score
14284
Half Precision Score
14052
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Jolo |
| Upload Date | February 14 2026 07:43 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
1304
242.4 IPS |
|
|
Image Classification (HP)
|
100% |
5848
1.09 KIPS |
|
|
Image Classification (Q)
|
96% |
5886
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1311
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8848
143.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
9129
148.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6027
7.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
64903
75.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
63939
74.9 IPS |
|
|
Object Detection (SP)
|
100% |
1382
109.7 IPS |
|
|
Object Detection (HP)
|
99% |
6614
526.1 IPS |
|
|
Object Detection (Q)
|
91% |
6075
485.4 IPS |
|
|
Face Detection (SP)
|
100% |
2980
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
12946
153.8 IPS |
|
|
Face Detection (Q)
|
100% |
11687
138.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5494
42.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
41485
319.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
42549
332.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16497
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
119114
153.1 IPS |
|
|
Style Transfer (Q)
|
96% |
110343
142.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3470
128.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23840
880.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22877
844.7 IPS |
|
|
Text Classification (SP)
|
100% |
2422
3.23 KIPS |
|
|
Text Classification (HP)
|
99% |
4199
5.60 KIPS |
|
|
Text Classification (Q)
|
93% |
4171
5.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
2501
43.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2487
42.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2748
47.5 IPS |
