iPad Pro 13-inch (M4)
Geekbench AI Score
8801
Single Precision Score
10311
Half Precision Score
9568
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | TSMusik |
| Upload Date | January 29 2025 04:56 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4427
823.2 IPS |
|
|
Image Classification (HP)
|
100% |
4826
897.5 IPS |
|
|
Image Classification (Q)
|
97% |
4091
763.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4903
79.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6747
109.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7154
116.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
28000
32.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
30044
35.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
28599
33.5 IPS |
|
|
Object Detection (SP)
|
100% |
4689
371.9 IPS |
|
|
Object Detection (HP)
|
100% |
5203
412.7 IPS |
|
|
Object Detection (Q)
|
91% |
4429
353.9 IPS |
|
|
Face Detection (SP)
|
100% |
12839
152.6 IPS |
|
|
Face Detection (HP)
|
100% |
16390
194.8 IPS |
|
|
Face Detection (Q)
|
100% |
11985
142.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
20266
156.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
22247
171.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
19322
151.0 IPS |
|
|
Style Transfer (SP)
|
100% |
57031
73.3 IPS |
|
|
Style Transfer (HP)
|
100% |
67723
87.1 IPS |
|
|
Style Transfer (Q)
|
96% |
63097
81.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11536
426.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12633
466.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10279
379.5 IPS |
|
|
Text Classification (SP)
|
100% |
2982
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5236
6.99 KIPS |
|
|
Text Classification (Q)
|
93% |
5518
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1918
33.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1634
28.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2094
36.2 IPS |
