iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3237
Single Precision Score
15772
Half Precision Score
15415
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Mulva |
| Upload Date | February 01 2025 07:44 AM |
| Views | 2 |
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% |
1408
261.8 IPS |
|
|
Image Classification (HP)
|
100% |
6442
1.20 KIPS |
|
|
Image Classification (Q)
|
96% |
5887
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1384
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9778
158.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10145
164.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6525
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
66525
77.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
65654
77.0 IPS |
|
|
Object Detection (SP)
|
100% |
1521
120.7 IPS |
|
|
Object Detection (HP)
|
99% |
7251
576.8 IPS |
|
|
Object Detection (Q)
|
91% |
6696
535.0 IPS |
|
|
Face Detection (SP)
|
100% |
3058
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
16527
196.4 IPS |
|
|
Face Detection (Q)
|
100% |
15364
182.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5843
45.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
47320
364.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
48233
376.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17153
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
120917
155.4 IPS |
|
|
Style Transfer (Q)
|
96% |
111590
144.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3753
138.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23184
856.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23745
876.8 IPS |
|
|
Text Classification (SP)
|
100% |
2284
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3935
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3888
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2493
42.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3635
62.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3780
65.3 IPS |
