iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3206
Single Precision Score
5375
Half Precision Score
4400
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 25 2025 10:59 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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 | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1408
261.8 IPS |
|
|
Image Classification (HP)
|
100% |
2201
409.3 IPS |
|
|
Image Classification (Q)
|
96% |
1580
295.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1360
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2200
35.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2520
40.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6493
7.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
14202
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12211
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1500
119.0 IPS |
|
|
Object Detection (HP)
|
97% |
2408
191.7 IPS |
|
|
Object Detection (Q)
|
94% |
1786
142.4 IPS |
|
|
Face Detection (SP)
|
100% |
3021
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
5446
64.7 IPS |
|
|
Face Detection (Q)
|
100% |
3167
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5665
43.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10438
80.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7366
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16958
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26939
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22314
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3684
136.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4633
171.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3518
129.9 IPS |
|
|
Text Classification (SP)
|
100% |
2286
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3825
5.11 KIPS |
|
|
Text Classification (Q)
|
93% |
3829
5.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
2523
43.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4485
77.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4475
77.3 IPS |
