iPad Pro (11-inch 3rd generation)
Geekbench AI Score
4894
Single Precision Score
5578
Half Precision Score
5026
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | December 04 2024 03:54 PM |
| Views | 13 |
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% |
2309
429.4 IPS |
|
|
Image Classification (HP)
|
100% |
1911
355.4 IPS |
|
|
Image Classification (Q)
|
97% |
2070
386.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2708
43.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3610
58.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3692
59.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
16654
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18319
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16830
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
2688
213.2 IPS |
|
|
Object Detection (HP)
|
100% |
2692
213.5 IPS |
|
|
Object Detection (Q)
|
91% |
2179
174.1 IPS |
|
|
Face Detection (SP)
|
100% |
6868
81.6 IPS |
|
|
Face Detection (HP)
|
100% |
8368
99.4 IPS |
|
|
Face Detection (Q)
|
100% |
6078
72.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12497
96.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
13787
106.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
11782
92.1 IPS |
|
|
Style Transfer (SP)
|
100% |
28653
36.8 IPS |
|
|
Style Transfer (HP)
|
100% |
34172
43.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31876
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6246
230.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6987
258.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5218
192.7 IPS |
|
|
Text Classification (SP)
|
100% |
2213
2.95 KIPS |
|
|
Text Classification (HP)
|
100% |
3739
4.99 KIPS |
|
|
Text Classification (Q)
|
93% |
3726
5.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
829
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
833
14.3 IPS |
|
|
Machine Translation (Q)
|
98% |
828
14.3 IPS |
