iPad Pro 13-inch (M4)
Geekbench AI Score
4764
Single Precision Score
7906
Half Precision Score
6367
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | l3uzz |
| Upload Date | February 11 2025 02:18 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
2027
376.9 IPS |
|
|
Image Classification (HP)
|
100% |
3339
621.0 IPS |
|
|
Image Classification (Q)
|
96% |
2350
438.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2189
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3376
54.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3750
60.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10043
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19030
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16603
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2300
182.4 IPS |
|
|
Object Detection (HP)
|
97% |
3818
303.9 IPS |
|
|
Object Detection (Q)
|
94% |
2758
219.8 IPS |
|
|
Face Detection (SP)
|
100% |
4116
48.9 IPS |
|
|
Face Detection (HP)
|
100% |
7993
95.0 IPS |
|
|
Face Detection (Q)
|
100% |
4643
55.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8455
65.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14962
115.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10435
81.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25240
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38194
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31849
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5749
212.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6650
245.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4787
176.8 IPS |
|
|
Text Classification (SP)
|
100% |
2945
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5620
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5365
7.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3951
68.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6828
118.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6850
118.4 IPS |
