iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3256
Single Precision Score
5373
Half Precision Score
4392
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Mulva |
| Upload Date | February 01 2025 07:38 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1411
262.4 IPS |
|
|
Image Classification (HP)
|
100% |
2208
410.7 IPS |
|
|
Image Classification (Q)
|
96% |
1577
294.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1436
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2290
37.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2609
42.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6526
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
13817
16.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12011
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1514
120.1 IPS |
|
|
Object Detection (HP)
|
97% |
2461
195.9 IPS |
|
|
Object Detection (Q)
|
94% |
1809
144.2 IPS |
|
|
Face Detection (SP)
|
100% |
3049
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
5631
66.9 IPS |
|
|
Face Detection (Q)
|
100% |
3206
38.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5827
44.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11065
85.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7656
59.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17311
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
26674
34.3 IPS |
|
|
Style Transfer (Q)
|
96% |
22151
28.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3826
141.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4387
162.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3364
124.2 IPS |
|
|
Text Classification (SP)
|
100% |
2289
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3928
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3872
5.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
2484
42.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4078
70.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4221
72.9 IPS |
