iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3210
Single Precision Score
5380
Half Precision Score
4406
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | robertdb3 |
| Upload Date | May 25 2025 05:19 AM |
| Views | 7 |
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% |
1406
261.4 IPS |
|
|
Image Classification (HP)
|
100% |
2207
410.4 IPS |
|
|
Image Classification (Q)
|
96% |
1566
292.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1361
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2148
34.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2507
40.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6495
7.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
14220
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12216
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1502
119.1 IPS |
|
|
Object Detection (HP)
|
97% |
2421
192.7 IPS |
|
|
Object Detection (Q)
|
94% |
1777
141.6 IPS |
|
|
Face Detection (SP)
|
100% |
3022
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
5414
64.3 IPS |
|
|
Face Detection (Q)
|
100% |
3152
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5697
43.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10416
80.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7361
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16962
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26954
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22315
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3686
136.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4615
170.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3507
129.5 IPS |
|
|
Text Classification (SP)
|
100% |
2304
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3890
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
3905
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2512
43.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4564
78.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4566
78.9 IPS |
