iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3159
Single Precision Score
14041
Half Precision Score
13748
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ItoMeasured10 |
| Upload Date | June 24 2025 11:35 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
1410
262.2 IPS |
|
|
Image Classification (HP)
|
100% |
5874
1.09 KIPS |
|
|
Image Classification (Q)
|
96% |
5574
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1364
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8894
144.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
9010
146.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6486
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
65227
76.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
63703
74.7 IPS |
|
|
Object Detection (SP)
|
100% |
1513
120.0 IPS |
|
|
Object Detection (HP)
|
99% |
6336
504.0 IPS |
|
|
Object Detection (Q)
|
91% |
5956
475.9 IPS |
|
|
Face Detection (SP)
|
100% |
2458
29.2 IPS |
|
|
Face Detection (HP)
|
100% |
12428
147.7 IPS |
|
|
Face Detection (Q)
|
100% |
11395
135.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5622
43.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
42994
331.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
43902
343.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16953
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
118707
152.6 IPS |
|
|
Style Transfer (Q)
|
96% |
113632
146.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3680
135.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23210
857.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23315
860.9 IPS |
|
|
Text Classification (SP)
|
100% |
2367
3.16 KIPS |
|
|
Text Classification (HP)
|
99% |
3924
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3901
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2577
44.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2388
41.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2450
42.3 IPS |
