iPad Pro 13-inch (M4)
Geekbench AI Score
4847
Single Precision Score
7907
Half Precision Score
6394
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 09 2025 11:36 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| 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% |
2105
391.4 IPS |
|
|
Image Classification (HP)
|
100% |
3337
620.6 IPS |
|
|
Image Classification (Q)
|
96% |
2337
436.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2227
36.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3267
53.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3639
59.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10070
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19515
22.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16628
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2426
192.4 IPS |
|
|
Object Detection (HP)
|
97% |
3763
299.5 IPS |
|
|
Object Detection (Q)
|
94% |
2691
214.5 IPS |
|
|
Face Detection (SP)
|
100% |
4373
52.0 IPS |
|
|
Face Detection (HP)
|
100% |
7751
92.1 IPS |
|
|
Face Detection (Q)
|
100% |
4459
53.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8603
66.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14592
112.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10257
80.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21469
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38221
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31644
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6021
222.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7091
261.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5025
185.6 IPS |
|
|
Text Classification (SP)
|
100% |
2903
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
5405
7.21 KIPS |
|
|
Text Classification (Q)
|
93% |
5750
7.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
4435
76.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7204
124.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7186
124.2 IPS |
