iPad Pro 13-inch (M4)
Geekbench AI Score
8943
Single Precision Score
10725
Half Precision Score
9411
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Vicedriver |
| Upload Date | December 07 2024 10:30 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4514
839.4 IPS |
|
|
Image Classification (HP)
|
100% |
4837
899.5 IPS |
|
|
Image Classification (Q)
|
97% |
4193
782.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4954
80.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6752
109.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7142
115.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
28307
33.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
30161
35.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
28724
33.7 IPS |
|
|
Object Detection (SP)
|
100% |
4764
377.9 IPS |
|
|
Object Detection (HP)
|
100% |
5258
417.0 IPS |
|
|
Object Detection (Q)
|
91% |
4502
359.7 IPS |
|
|
Face Detection (SP)
|
100% |
13005
154.5 IPS |
|
|
Face Detection (HP)
|
100% |
16633
197.6 IPS |
|
|
Face Detection (Q)
|
100% |
12063
143.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
20595
158.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
22621
174.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
19288
150.8 IPS |
|
|
Style Transfer (SP)
|
100% |
58672
75.4 IPS |
|
|
Style Transfer (HP)
|
100% |
67790
87.1 IPS |
|
|
Style Transfer (Q)
|
96% |
63815
82.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11781
435.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12665
467.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10421
384.8 IPS |
|
|
Text Classification (SP)
|
100% |
2976
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5670
7.57 KIPS |
|
|
Text Classification (Q)
|
93% |
5519
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1970
33.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2124
36.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1648
28.5 IPS |
