iPad Pro (11-inch 3rd generation)
Geekbench AI Score
5118
Single Precision Score
5959
Half Precision Score
5242
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | waleriewitch |
| Upload Date | October 17 2024 06:37 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,4 |
| Motherboard | J517AP |
| 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% |
2476
460.4 IPS |
|
|
Image Classification (HP)
|
100% |
2360
438.9 IPS |
|
|
Image Classification (Q)
|
97% |
2241
418.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2699
43.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3714
60.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3659
59.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
16841
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18330
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16626
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2747
217.9 IPS |
|
|
Object Detection (HP)
|
100% |
2924
231.9 IPS |
|
|
Object Detection (Q)
|
91% |
2242
179.2 IPS |
|
|
Face Detection (SP)
|
100% |
7363
87.5 IPS |
|
|
Face Detection (HP)
|
100% |
9133
108.5 IPS |
|
|
Face Detection (Q)
|
100% |
6028
71.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12643
97.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
14566
112.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
11188
87.5 IPS |
|
|
Style Transfer (SP)
|
100% |
29441
37.8 IPS |
|
|
Style Transfer (HP)
|
100% |
35442
45.6 IPS |
|
|
Style Transfer (Q)
|
96% |
33919
43.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6622
244.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7755
286.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5529
204.2 IPS |
|
|
Text Classification (SP)
|
100% |
2265
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3603
4.81 KIPS |
|
|
Text Classification (Q)
|
93% |
3881
5.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
972
16.7 IPS |
|
|
Machine Translation (HP)
|
100% |
913
15.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1046
18.1 IPS |
