iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3237
Single Precision Score
15676
Half Precision Score
15394
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | LWD |
| Upload Date | February 01 2025 10:49 AM |
| Views | 11 |
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 | iPad13,4 |
| 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% |
1403
260.8 IPS |
|
|
Image Classification (HP)
|
100% |
6296
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5882
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1383
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9762
158.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10014
162.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6542
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
66542
77.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
65667
77.0 IPS |
|
|
Object Detection (SP)
|
100% |
1514
120.1 IPS |
|
|
Object Detection (HP)
|
99% |
7215
573.9 IPS |
|
|
Object Detection (Q)
|
91% |
6748
539.2 IPS |
|
|
Face Detection (SP)
|
100% |
3045
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
16458
195.6 IPS |
|
|
Face Detection (Q)
|
100% |
15287
181.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5859
45.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
47233
363.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
47978
374.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17174
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
119874
154.1 IPS |
|
|
Style Transfer (Q)
|
96% |
112626
145.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3753
138.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23124
853.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23912
883.0 IPS |
|
|
Text Classification (SP)
|
100% |
2298
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3859
5.15 KIPS |
|
|
Text Classification (Q)
|
93% |
3840
5.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
2488
42.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3653
62.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3777
65.3 IPS |
