iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3225
Single Precision Score
5301
Half Precision Score
4373
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Raymond110168 |
| Upload Date | March 30 2025 11:04 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,7 |
| Motherboard | J518xAP |
| 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 | 15.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1399
260.2 IPS |
|
|
Image Classification (HP)
|
100% |
2198
408.7 IPS |
|
|
Image Classification (Q)
|
96% |
1565
292.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1379
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2206
35.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2595
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6516
7.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
13846
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11988
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1506
119.5 IPS |
|
|
Object Detection (HP)
|
97% |
2444
194.6 IPS |
|
|
Object Detection (Q)
|
94% |
1804
143.8 IPS |
|
|
Face Detection (SP)
|
100% |
3034
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
5589
66.4 IPS |
|
|
Face Detection (Q)
|
100% |
3219
38.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5799
44.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11034
85.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7660
59.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17177
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26308
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22003
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3757
138.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4380
161.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3362
124.2 IPS |
|
|
Text Classification (SP)
|
100% |
2297
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3819
5.10 KIPS |
|
|
Text Classification (Q)
|
93% |
3809
5.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2472
42.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3939
68.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4200
72.6 IPS |
