iPad Pro 13-inch (M4)
Geekbench AI Score
4729
Single Precision Score
36477
Half Precision Score
52659
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | March 08 2025 02:19 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| 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 | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2012
374.1 IPS |
|
|
Image Classification (HP)
|
100% |
17177
3.19 KIPS |
|
|
Image Classification (Q)
|
97% |
27592
5.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2155
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22090
358.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
30482
494.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10057
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123748
144.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
232472
272.5 IPS |
|
|
Object Detection (SP)
|
100% |
2255
178.9 IPS |
|
|
Object Detection (HP)
|
100% |
18231
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
25598
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4031
47.9 IPS |
|
|
Face Detection (HP)
|
100% |
43214
513.5 IPS |
|
|
Face Detection (Q)
|
100% |
63970
760.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8323
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
98813
761.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
167981
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25111
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
233774
300.5 IPS |
|
|
Style Transfer (Q)
|
96% |
298962
385.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5852
216.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48664
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84522
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
2950
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
6100
8.14 KIPS |
|
|
Text Classification (Q)
|
93% |
6751
9.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3912
67.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16441
283.2 IPS |
|
|
Machine Translation (Q)
|
98% |
17871
308.8 IPS |
