iPad Pro (11-inch 3rd generation)
Geekbench AI Score
4956
Single Precision Score
5655
Half Precision Score
5010
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | December 08 2024 11:49 PM |
| Views | 4 |
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% |
2368
440.4 IPS |
|
|
Image Classification (HP)
|
100% |
1910
355.2 IPS |
|
|
Image Classification (Q)
|
97% |
1844
344.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2709
43.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3632
58.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3689
59.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
17321
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18527
21.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
17248
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
2739
217.3 IPS |
|
|
Object Detection (HP)
|
100% |
2764
219.3 IPS |
|
|
Object Detection (Q)
|
91% |
2209
176.5 IPS |
|
|
Face Detection (SP)
|
100% |
6861
81.5 IPS |
|
|
Face Detection (HP)
|
100% |
7779
92.4 IPS |
|
|
Face Detection (Q)
|
100% |
5773
68.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11972
92.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
13759
106.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
11386
89.0 IPS |
|
|
Style Transfer (SP)
|
100% |
28938
37.2 IPS |
|
|
Style Transfer (HP)
|
100% |
35108
45.1 IPS |
|
|
Style Transfer (Q)
|
96% |
32868
42.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6355
234.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7145
263.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5368
198.2 IPS |
|
|
Text Classification (SP)
|
100% |
2284
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3964
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
3952
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
853
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
886
15.3 IPS |
|
|
Machine Translation (Q)
|
98% |
840
14.5 IPS |
