iPad Pro 13-inch (M4)
Geekbench AI Score
4932
Single Precision Score
7961
Half Precision Score
6392
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 06 2025 03:17 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2095
389.7 IPS |
|
|
Image Classification (HP)
|
100% |
3351
623.1 IPS |
|
|
Image Classification (Q)
|
96% |
2332
435.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2172
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3241
52.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3658
59.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9972
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19406
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16702
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2440
193.5 IPS |
|
|
Object Detection (HP)
|
97% |
3796
302.2 IPS |
|
|
Object Detection (Q)
|
94% |
2726
217.2 IPS |
|
|
Face Detection (SP)
|
100% |
4360
51.8 IPS |
|
|
Face Detection (HP)
|
100% |
7781
92.5 IPS |
|
|
Face Detection (Q)
|
100% |
4479
53.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8600
66.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14625
113.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10306
80.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21963
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38519
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31912
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6106
225.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7260
268.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5008
184.9 IPS |
|
|
Text Classification (SP)
|
100% |
3488
4.66 KIPS |
|
|
Text Classification (HP)
|
100% |
5531
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5587
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
4392
75.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7269
125.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7120
123.0 IPS |
