iPad Pro M4 iPad16,5
Geekbench AI Score
4451
Single Precision Score
6393
Half Precision Score
5424
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | bjornjd |
| Upload Date | September 12 2024 11:32 AM |
| Views | 42 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPad16,5 |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1950
362.7 IPS |
|
|
Image Classification (HP)
|
100% |
2640
490.9 IPS |
|
|
Image Classification (Q)
|
96% |
1955
365.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1847
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1801
29.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2504
40.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9915
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18814
22.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
16288
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2086
165.5 IPS |
|
|
Object Detection (HP)
|
97% |
3047
242.6 IPS |
|
|
Object Detection (Q)
|
94% |
2303
183.6 IPS |
|
|
Face Detection (SP)
|
100% |
3606
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
5863
69.7 IPS |
|
|
Face Detection (Q)
|
100% |
3744
44.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7603
58.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
11226
86.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
8480
66.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24054
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35422
45.5 IPS |
|
|
Style Transfer (Q)
|
96% |
29796
38.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5752
212.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6683
246.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4806
177.5 IPS |
|
|
Text Classification (SP)
|
100% |
3036
4.05 KIPS |
|
|
Text Classification (HP)
|
100% |
5209
6.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5120
6.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3561
61.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5156
89.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5157
89.1 IPS |
