iPad Pro 13-inch (M4)
Geekbench AI Score
4732
Single Precision Score
36179
Half Precision Score
51910
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 07:56 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
2024
376.4 IPS |
|
|
Image Classification (HP)
|
100% |
17169
3.19 KIPS |
|
|
Image Classification (Q)
|
97% |
24511
4.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2152
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22059
357.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
30286
491.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10009
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123356
143.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
231930
271.8 IPS |
|
|
Object Detection (SP)
|
100% |
2266
179.8 IPS |
|
|
Object Detection (HP)
|
100% |
18470
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
25564
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4057
48.2 IPS |
|
|
Face Detection (HP)
|
100% |
42805
508.6 IPS |
|
|
Face Detection (Q)
|
100% |
62764
745.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8334
64.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
98659
760.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
166644
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
25182
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
231082
297.1 IPS |
|
|
Style Transfer (Q)
|
96% |
297724
384.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5854
216.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48498
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83925
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
2924
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5725
7.64 KIPS |
|
|
Text Classification (Q)
|
93% |
6899
9.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3911
67.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16437
283.1 IPS |
|
|
Machine Translation (Q)
|
98% |
17904
309.4 IPS |
