iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3243
Single Precision Score
5339
Half Precision Score
4370
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | nordicpioneer |
| Upload Date | February 11 2025 02:16 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,7 |
| Motherboard | J518xAP |
| 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 | 15.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1405
261.3 IPS |
|
|
Image Classification (HP)
|
100% |
2183
406.0 IPS |
|
|
Image Classification (Q)
|
96% |
1564
292.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1410
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2270
36.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2589
42.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6530
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
13869
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11987
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1509
119.7 IPS |
|
|
Object Detection (HP)
|
97% |
2434
193.8 IPS |
|
|
Object Detection (Q)
|
94% |
1796
143.2 IPS |
|
|
Face Detection (SP)
|
100% |
3040
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
5570
66.2 IPS |
|
|
Face Detection (Q)
|
100% |
3215
38.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5826
44.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11045
85.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7636
59.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17145
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
26285
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21900
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3823
141.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4641
171.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3375
124.6 IPS |
|
|
Text Classification (SP)
|
100% |
2290
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3881
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3856
5.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
2486
42.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3866
66.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4169
72.0 IPS |
