iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3205
Single Precision Score
15748
Half Precision Score
15488
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | tboneuk1691 |
| Upload Date | March 19 2025 01:19 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1401
260.5 IPS |
|
|
Image Classification (HP)
|
100% |
6254
1.16 KIPS |
|
|
Image Classification (Q)
|
96% |
5940
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1363
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9701
157.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10012
162.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6509
7.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
67754
79.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
66835
78.3 IPS |
|
|
Object Detection (SP)
|
100% |
1494
118.5 IPS |
|
|
Object Detection (HP)
|
99% |
7313
581.7 IPS |
|
|
Object Detection (Q)
|
91% |
6749
539.3 IPS |
|
|
Face Detection (SP)
|
100% |
3020
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
16461
195.6 IPS |
|
|
Face Detection (Q)
|
100% |
15312
181.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5681
43.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
47293
364.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
47962
374.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16965
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
120136
154.4 IPS |
|
|
Style Transfer (Q)
|
96% |
113832
146.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3695
136.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23177
855.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23806
879.0 IPS |
|
|
Text Classification (SP)
|
100% |
2272
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3958
5.28 KIPS |
|
|
Text Classification (Q)
|
93% |
3978
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2526
43.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3638
62.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3742
64.7 IPS |
