iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3236
Single Precision Score
15683
Half Precision Score
15412
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | szityus |
| Upload Date | February 28 2025 01:48 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1400
260.4 IPS |
|
|
Image Classification (HP)
|
100% |
6205
1.15 KIPS |
|
|
Image Classification (Q)
|
96% |
5817
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1385
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9758
158.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10000
162.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6536
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
66545
77.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
65723
77.0 IPS |
|
|
Object Detection (SP)
|
100% |
1513
120.0 IPS |
|
|
Object Detection (HP)
|
99% |
7212
573.7 IPS |
|
|
Object Detection (Q)
|
91% |
6764
540.5 IPS |
|
|
Face Detection (SP)
|
100% |
3046
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
16459
195.6 IPS |
|
|
Face Detection (Q)
|
100% |
15352
182.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5835
45.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
47249
364.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
48156
376.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17188
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
120051
154.3 IPS |
|
|
Style Transfer (Q)
|
96% |
113590
146.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3795
140.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23101
853.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23895
882.3 IPS |
|
|
Text Classification (SP)
|
100% |
2292
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3905
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3865
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2477
42.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3678
63.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3771
65.2 IPS |
