iPad Pro 11-inch (M4)
Geekbench AI Score
8775
Single Precision Score
10518
Half Precision Score
9234
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 28 2024 10:51 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4419
821.9 IPS |
|
|
Image Classification (HP)
|
100% |
4814
895.2 IPS |
|
|
Image Classification (Q)
|
97% |
4098
764.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4821
78.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6691
108.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7135
115.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
27842
32.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
29908
34.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
28512
33.4 IPS |
|
|
Object Detection (SP)
|
100% |
4625
366.9 IPS |
|
|
Object Detection (HP)
|
100% |
5186
411.4 IPS |
|
|
Object Detection (Q)
|
91% |
4395
351.2 IPS |
|
|
Face Detection (SP)
|
100% |
12798
152.1 IPS |
|
|
Face Detection (HP)
|
100% |
16395
194.8 IPS |
|
|
Face Detection (Q)
|
100% |
11944
141.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
20179
155.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
22065
170.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
19164
149.8 IPS |
|
|
Style Transfer (SP)
|
100% |
56764
73.0 IPS |
|
|
Style Transfer (HP)
|
100% |
66416
85.4 IPS |
|
|
Style Transfer (Q)
|
96% |
62526
80.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11478
423.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12876
475.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10219
377.3 IPS |
|
|
Text Classification (SP)
|
100% |
2995
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5321
7.10 KIPS |
|
|
Text Classification (Q)
|
93% |
5281
7.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
1960
33.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2015
34.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1593
27.5 IPS |
