iPad Pro 13-inch (M4)
Geekbench AI Score
8769
Single Precision Score
10626
Half Precision Score
9323
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | aIpaca |
| Upload Date | February 11 2025 06:53 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4401
818.5 IPS |
|
|
Image Classification (HP)
|
100% |
4857
903.3 IPS |
|
|
Image Classification (Q)
|
97% |
4127
770.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4843
78.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6700
108.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7110
115.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
27796
32.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
29925
34.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
28447
33.3 IPS |
|
|
Object Detection (SP)
|
100% |
4636
367.8 IPS |
|
|
Object Detection (HP)
|
100% |
5194
412.0 IPS |
|
|
Object Detection (Q)
|
91% |
4445
355.2 IPS |
|
|
Face Detection (SP)
|
100% |
12760
151.6 IPS |
|
|
Face Detection (HP)
|
100% |
16539
196.5 IPS |
|
|
Face Detection (Q)
|
100% |
11989
142.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
20173
155.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
22257
171.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
19422
151.8 IPS |
|
|
Style Transfer (SP)
|
100% |
55575
71.4 IPS |
|
|
Style Transfer (HP)
|
100% |
66505
85.5 IPS |
|
|
Style Transfer (Q)
|
96% |
62634
80.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11553
426.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12574
464.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10223
377.5 IPS |
|
|
Text Classification (SP)
|
100% |
3085
4.12 KIPS |
|
|
Text Classification (HP)
|
100% |
5625
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5441
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1922
33.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2097
36.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1649
28.5 IPS |
