iPad Pro 13-inch (M4)
Geekbench AI Score
4854
Single Precision Score
7958
Half Precision Score
6347
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 14 2025 03:30 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
2083
387.5 IPS |
|
|
Image Classification (HP)
|
100% |
3325
618.4 IPS |
|
|
Image Classification (Q)
|
96% |
2317
432.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2192
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3261
52.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3587
58.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10100
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19522
22.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16672
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2418
191.8 IPS |
|
|
Object Detection (HP)
|
97% |
3802
302.7 IPS |
|
|
Object Detection (Q)
|
94% |
2700
215.2 IPS |
|
|
Face Detection (SP)
|
100% |
4331
51.5 IPS |
|
|
Face Detection (HP)
|
100% |
7773
92.4 IPS |
|
|
Face Detection (Q)
|
100% |
4454
52.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8624
66.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14616
113.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10237
79.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21779
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38337
49.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31661
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6139
226.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7205
266.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5039
186.1 IPS |
|
|
Text Classification (SP)
|
100% |
2932
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5581
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5442
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
4452
76.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7228
124.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7171
123.9 IPS |
