iPad Pro (11-inch 3rd generation)
Geekbench AI Score
4882
Single Precision Score
5754
Half Precision Score
5075
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 09 2024 06:10 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1933
359.5 IPS |
|
|
Image Classification (HP)
|
100% |
2195
408.2 IPS |
|
|
Image Classification (Q)
|
97% |
1942
362.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2702
43.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3618
58.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3674
59.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
16965
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18375
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16992
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
2742
217.5 IPS |
|
|
Object Detection (HP)
|
100% |
2838
225.1 IPS |
|
|
Object Detection (Q)
|
91% |
2234
178.5 IPS |
|
|
Face Detection (SP)
|
100% |
6863
81.6 IPS |
|
|
Face Detection (HP)
|
100% |
8561
101.7 IPS |
|
|
Face Detection (Q)
|
100% |
5891
70.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12141
93.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
13945
107.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
11336
88.6 IPS |
|
|
Style Transfer (SP)
|
100% |
29322
37.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35199
45.2 IPS |
|
|
Style Transfer (Q)
|
96% |
32941
42.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6460
238.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7169
264.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5738
211.9 IPS |
|
|
Text Classification (SP)
|
100% |
2323
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3802
5.07 KIPS |
|
|
Text Classification (Q)
|
93% |
3814
5.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
865
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
840
14.5 IPS |
|
|
Machine Translation (Q)
|
98% |
870
15.0 IPS |
