iPad Pro 11-inch (M4)
Geekbench AI Score
4844
Single Precision Score
36901
Half Precision Score
52010
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | albertoyan |
| Upload Date | May 04 2025 04:40 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
2071
385.1 IPS |
|
|
Image Classification (HP)
|
100% |
18699
3.48 KIPS |
|
|
Image Classification (Q)
|
97% |
25317
4.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2223
36.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22097
358.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
30544
495.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10033
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122920
143.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
231730
271.6 IPS |
|
|
Object Detection (SP)
|
100% |
2409
191.1 IPS |
|
|
Object Detection (HP)
|
100% |
18313
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
25823
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
4303
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
42606
506.2 IPS |
|
|
Face Detection (Q)
|
100% |
63057
749.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8590
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
98858
761.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
166364
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
21695
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
232946
299.5 IPS |
|
|
Style Transfer (Q)
|
96% |
298883
385.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6088
224.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49263
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82826
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2947
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
6297
8.41 KIPS |
|
|
Text Classification (Q)
|
93% |
6467
8.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
4447
76.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16541
284.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18639
322.1 IPS |
