iPad Pro 13-inch (M4)
Geekbench AI Score
3676
Single Precision Score
3512
Half Precision Score
3334
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 17 2025 10:45 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| 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% |
3975
739.3 IPS |
|
|
Image Classification (HP)
|
100% |
3978
739.8 IPS |
|
|
Image Classification (Q)
|
96% |
4457
832.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
7125
115.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8040
130.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
7714
125.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
28014
32.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
29702
34.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
29479
34.5 IPS |
|
|
Object Detection (SP)
|
100% |
4722
374.6 IPS |
|
|
Object Detection (HP)
|
100% |
5274
418.4 IPS |
|
|
Object Detection (Q)
|
92% |
4815
384.3 IPS |
|
|
Face Detection (SP)
|
100% |
12741
151.4 IPS |
|
|
Face Detection (HP)
|
100% |
16723
198.7 IPS |
|
|
Face Detection (Q)
|
100% |
13428
159.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
21454
165.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
21670
167.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
20218
157.9 IPS |
|
|
Style Transfer (SP)
|
100% |
53158
68.3 IPS |
|
|
Style Transfer (HP)
|
0
|
||
|
Style Transfer (Q)
|
0
|
||
|
Image Super-Resolution (SP)
|
0
|
||
|
Image Super-Resolution (HP)
|
100% |
11535
426.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10311
380.7 IPS |
|
|
Text Classification (SP)
|
100% |
2917
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5299
7.07 KIPS |
|
|
Text Classification (Q)
|
93% |
5160
6.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
2838
48.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2576
44.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2412
41.7 IPS |
