iPad Pro 13-inch (M4)
Geekbench AI Score
4736
Single Precision Score
7839
Half Precision Score
6297
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | aIpaca |
| Upload Date | February 11 2025 06:51 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% |
2025
376.7 IPS |
|
|
Image Classification (HP)
|
100% |
3318
617.0 IPS |
|
|
Image Classification (Q)
|
96% |
2333
435.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2152
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3358
54.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3684
59.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10103
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19093
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16503
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2256
179.0 IPS |
|
|
Object Detection (HP)
|
97% |
3782
301.1 IPS |
|
|
Object Detection (Q)
|
94% |
2705
215.6 IPS |
|
|
Face Detection (SP)
|
100% |
4040
48.0 IPS |
|
|
Face Detection (HP)
|
100% |
7764
92.3 IPS |
|
|
Face Detection (Q)
|
100% |
4474
53.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8312
64.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14714
113.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10234
79.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25045
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37850
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31411
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5797
214.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6776
250.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4804
177.4 IPS |
|
|
Text Classification (SP)
|
100% |
3004
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5461
7.29 KIPS |
|
|
Text Classification (Q)
|
93% |
5458
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3904
67.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6812
117.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6780
117.2 IPS |
