iPad Pro 13-inch (M4)
Geekbench AI Score
4732
Single Precision Score
36552
Half Precision Score
51480
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Vicedriver |
| Upload Date | December 07 2024 10:32 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
2018
375.3 IPS |
|
|
Image Classification (HP)
|
100% |
17496
3.25 KIPS |
|
|
Image Classification (Q)
|
97% |
23907
4.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2167
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22116
358.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30556
495.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10077
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123910
144.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
233815
274.0 IPS |
|
|
Object Detection (SP)
|
100% |
2230
176.9 IPS |
|
|
Object Detection (HP)
|
100% |
18430
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
26120
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
4031
47.9 IPS |
|
|
Face Detection (HP)
|
100% |
43136
512.5 IPS |
|
|
Face Detection (Q)
|
100% |
62879
747.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8322
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
98920
762.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
168180
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25108
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
235842
303.2 IPS |
|
|
Style Transfer (Q)
|
96% |
297951
384.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5875
216.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48821
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85657
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
2963
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5979
7.98 KIPS |
|
|
Text Classification (Q)
|
93% |
6010
8.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3907
67.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16404
282.6 IPS |
|
|
Machine Translation (Q)
|
98% |
18067
312.2 IPS |
