iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3190
Single Precision Score
15551
Half Precision Score
15231
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | December 07 2024 11:43 AM |
| Views | 3 |
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% |
1395
259.4 IPS |
|
|
Image Classification (HP)
|
100% |
6254
1.16 KIPS |
|
|
Image Classification (Q)
|
96% |
5738
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1170
19.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9678
156.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
9950
161.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6542
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
67573
78.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
65526
76.8 IPS |
|
|
Object Detection (SP)
|
100% |
1503
119.2 IPS |
|
|
Object Detection (HP)
|
99% |
7209
573.4 IPS |
|
|
Object Detection (Q)
|
91% |
6701
535.4 IPS |
|
|
Face Detection (SP)
|
100% |
3037
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
16430
195.2 IPS |
|
|
Face Detection (Q)
|
100% |
15358
182.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5807
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
47224
363.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
47424
370.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17287
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
120086
154.4 IPS |
|
|
Style Transfer (Q)
|
96% |
114454
147.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3782
139.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22969
848.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23473
866.8 IPS |
|
|
Text Classification (SP)
|
100% |
2300
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4035
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4032
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
2565
44.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3249
56.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3398
58.7 IPS |
