iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3233
Single Precision Score
5314
Half Precision Score
4380
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | szityus |
| Upload Date | February 28 2025 01:51 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2186
406.5 IPS |
|
|
Image Classification (Q)
|
96% |
1561
291.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1383
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2211
35.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2584
41.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6526
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
13883
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11990
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1513
120.0 IPS |
|
|
Object Detection (HP)
|
97% |
2443
194.5 IPS |
|
|
Object Detection (Q)
|
94% |
1799
143.4 IPS |
|
|
Face Detection (SP)
|
100% |
3049
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
5587
66.4 IPS |
|
|
Face Detection (Q)
|
100% |
3228
38.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5782
44.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11057
85.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7639
59.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17208
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26319
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21951
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3751
138.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4386
162.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3378
124.7 IPS |
|
|
Text Classification (SP)
|
100% |
2279
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3864
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3871
5.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
2523
43.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3982
68.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4225
73.0 IPS |
