iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3218
Single Precision Score
15387
Half Precision Score
14970
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | December 04 2024 04:07 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1389
258.3 IPS |
|
|
Image Classification (HP)
|
100% |
6211
1.15 KIPS |
|
|
Image Classification (Q)
|
96% |
5493
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1417
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9704
157.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9968
161.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6501
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
68287
79.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
65646
76.9 IPS |
|
|
Object Detection (SP)
|
100% |
1495
118.6 IPS |
|
|
Object Detection (HP)
|
99% |
7162
569.7 IPS |
|
|
Object Detection (Q)
|
91% |
6592
526.7 IPS |
|
|
Face Detection (SP)
|
100% |
3025
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
16336
194.1 IPS |
|
|
Face Detection (Q)
|
100% |
15318
182.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5803
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
47096
362.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
47285
369.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17096
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
119857
154.1 IPS |
|
|
Style Transfer (Q)
|
96% |
113112
146.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3778
139.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22789
841.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23425
865.0 IPS |
|
|
Text Classification (SP)
|
100% |
2237
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3738
4.99 KIPS |
|
|
Text Classification (Q)
|
93% |
3701
4.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
2458
42.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3213
55.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3359
58.1 IPS |
