iPad Pro 13-inch (M4)
Geekbench AI Score
4722
Single Precision Score
36625
Half Precision Score
51495
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ChoiSan |
| Upload Date | February 04 2025 05:56 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 13-inch (M4) |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2020
375.7 IPS |
|
|
Image Classification (HP)
|
100% |
17730
3.30 KIPS |
|
|
Image Classification (Q)
|
97% |
24489
4.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2094
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
21917
355.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
30107
488.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10065
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123568
144.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
232648
272.7 IPS |
|
|
Object Detection (SP)
|
100% |
2269
180.0 IPS |
|
|
Object Detection (HP)
|
100% |
18045
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
25496
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4066
48.3 IPS |
|
|
Face Detection (HP)
|
100% |
42206
501.5 IPS |
|
|
Face Detection (Q)
|
100% |
62616
744.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8314
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
98860
761.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
167912
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25246
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
232785
299.2 IPS |
|
|
Style Transfer (Q)
|
96% |
298047
384.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5876
217.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48743
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84819
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
2930
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
6300
8.41 KIPS |
|
|
Text Classification (Q)
|
93% |
6301
8.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3887
66.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16805
289.5 IPS |
|
|
Machine Translation (Q)
|
98% |
17902
309.4 IPS |
