iPad Pro 11-inch (M4)
Geekbench AI Score
4698
Single Precision Score
36608
Half Precision Score
51450
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 02 2025 03:08 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,4 |
| Motherboard | J718AP |
| 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% |
2006
373.0 IPS |
|
|
Image Classification (HP)
|
100% |
17072
3.17 KIPS |
|
|
Image Classification (Q)
|
97% |
23804
4.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2109
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22113
358.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30497
494.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10033
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123526
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
232609
272.6 IPS |
|
|
Object Detection (SP)
|
100% |
2229
176.8 IPS |
|
|
Object Detection (HP)
|
100% |
18518
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
25964
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
3957
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
42505
505.1 IPS |
|
|
Face Detection (Q)
|
100% |
63874
759.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8307
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
99341
765.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
167303
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25040
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
232793
299.3 IPS |
|
|
Style Transfer (Q)
|
96% |
297249
383.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5821
214.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48280
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85601
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
2953
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
6420
8.57 KIPS |
|
|
Text Classification (Q)
|
93% |
6056
8.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3914
67.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16430
283.0 IPS |
|
|
Machine Translation (Q)
|
98% |
18003
311.1 IPS |
