iPad Pro (11-inch 3rd generation)
Geekbench AI Score
4910
Single Precision Score
5687
Half Precision Score
5039
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | December 15 2024 12:54 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,6 |
| Motherboard | J518AP |
| 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% |
2227
414.2 IPS |
|
|
Image Classification (HP)
|
100% |
2064
383.9 IPS |
|
|
Image Classification (Q)
|
97% |
1959
365.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2693
43.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3649
59.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3706
60.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
16614
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18323
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17153
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
2718
215.6 IPS |
|
|
Object Detection (HP)
|
100% |
2725
216.2 IPS |
|
|
Object Detection (Q)
|
91% |
2211
176.7 IPS |
|
|
Face Detection (SP)
|
100% |
6879
81.7 IPS |
|
|
Face Detection (HP)
|
100% |
8435
100.2 IPS |
|
|
Face Detection (Q)
|
100% |
5832
69.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
12151
93.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
13635
105.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
11453
89.5 IPS |
|
|
Style Transfer (SP)
|
100% |
29094
37.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35213
45.3 IPS |
|
|
Style Transfer (Q)
|
96% |
32340
41.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6396
236.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7090
261.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5393
199.1 IPS |
|
|
Text Classification (SP)
|
100% |
2283
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3920
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3906
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
847
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
837
14.4 IPS |
|
|
Machine Translation (Q)
|
98% |
844
14.6 IPS |
