iPad Pro 11-inch (M4)
Geekbench AI Score
4731
Single Precision Score
7876
Half Precision Score
6284
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | gethen |
| Upload Date | December 15 2024 01:59 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1989
369.9 IPS |
|
|
Image Classification (HP)
|
100% |
3371
626.9 IPS |
|
|
Image Classification (Q)
|
96% |
2336
436.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2150
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3388
54.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3647
59.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10078
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19098
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16483
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2244
178.0 IPS |
|
|
Object Detection (HP)
|
97% |
3815
303.7 IPS |
|
|
Object Detection (Q)
|
94% |
2700
215.2 IPS |
|
|
Face Detection (SP)
|
100% |
4008
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
7784
92.5 IPS |
|
|
Face Detection (Q)
|
100% |
4471
53.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8331
64.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14710
113.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10214
79.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25194
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38236
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31414
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5844
215.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6943
256.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4872
179.9 IPS |
|
|
Text Classification (SP)
|
100% |
3000
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5287
7.06 KIPS |
|
|
Text Classification (Q)
|
93% |
5307
7.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3945
68.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6873
118.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6838
118.2 IPS |
