iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3250
Single Precision Score
15707
Half Precision Score
15456
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | jdklev |
| Upload Date | January 30 2025 05:41 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
6390
1.19 KIPS |
|
|
Image Classification (Q)
|
96% |
5912
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1381
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9727
157.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10197
165.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6539
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
66441
77.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
65683
77.0 IPS |
|
|
Object Detection (SP)
|
100% |
1513
120.0 IPS |
|
|
Object Detection (HP)
|
99% |
7239
575.9 IPS |
|
|
Object Detection (Q)
|
91% |
6978
557.6 IPS |
|
|
Face Detection (SP)
|
100% |
3046
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
16553
196.7 IPS |
|
|
Face Detection (Q)
|
100% |
15276
181.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5826
44.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
46634
359.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
46860
366.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17317
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
120908
155.4 IPS |
|
|
Style Transfer (Q)
|
96% |
113178
146.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3813
140.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22907
845.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23501
867.8 IPS |
|
|
Text Classification (SP)
|
100% |
2329
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
3953
5.28 KIPS |
|
|
Text Classification (Q)
|
93% |
3947
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2519
43.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3618
62.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3747
64.8 IPS |
