iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3219
Single Precision Score
5394
Half Precision Score
4416
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | deryk527 |
| Upload Date | April 01 2025 12:18 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,6 |
| Motherboard | J518AP |
| 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% |
1404
261.1 IPS |
|
|
Image Classification (HP)
|
100% |
2209
410.7 IPS |
|
|
Image Classification (Q)
|
96% |
1568
292.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1399
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2158
35.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2529
41.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6500
7.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
14230
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12204
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1496
118.7 IPS |
|
|
Object Detection (HP)
|
97% |
2413
192.1 IPS |
|
|
Object Detection (Q)
|
94% |
1781
141.9 IPS |
|
|
Face Detection (SP)
|
100% |
3014
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
5430
64.5 IPS |
|
|
Face Detection (Q)
|
100% |
3158
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5678
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10344
80.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7363
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16963
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26943
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22292
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3686
136.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4637
171.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3517
129.8 IPS |
|
|
Text Classification (SP)
|
100% |
2312
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
3976
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3951
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2532
43.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4567
78.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4550
78.6 IPS |
