iPad Pro (11-inch 3rd generation)
Geekbench AI Score
4892
Single Precision Score
5738
Half Precision Score
5061
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | December 07 2024 11:39 AM |
| Views | 17 |
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% |
2066
384.2 IPS |
|
|
Image Classification (HP)
|
100% |
2205
410.1 IPS |
|
|
Image Classification (Q)
|
97% |
2026
378.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2705
43.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3632
58.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3682
59.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
17032
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18391
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
17142
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
2730
216.6 IPS |
|
|
Object Detection (HP)
|
100% |
2739
217.3 IPS |
|
|
Object Detection (Q)
|
91% |
2282
182.4 IPS |
|
|
Face Detection (SP)
|
100% |
6848
81.4 IPS |
|
|
Face Detection (HP)
|
100% |
8356
99.3 IPS |
|
|
Face Detection (Q)
|
100% |
5812
69.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
12234
94.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
13715
105.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
11297
88.3 IPS |
|
|
Style Transfer (SP)
|
100% |
29088
37.4 IPS |
|
|
Style Transfer (HP)
|
100% |
34776
44.7 IPS |
|
|
Style Transfer (Q)
|
96% |
32457
41.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6440
237.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7161
264.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5370
198.3 IPS |
|
|
Text Classification (SP)
|
100% |
2293
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3978
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3966
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
840
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
845
14.6 IPS |
|
|
Machine Translation (Q)
|
98% |
834
14.4 IPS |
