iPad Pro 11-inch (M4)
Geekbench AI Score
4832
Single Precision Score
7966
Half Precision Score
6360
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Neo8680 |
| Upload Date | April 07 2025 12:23 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| 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 | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2086
388.0 IPS |
|
|
Image Classification (HP)
|
100% |
3380
628.7 IPS |
|
|
Image Classification (Q)
|
96% |
2328
434.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2203
35.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3278
53.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3599
58.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10016
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19368
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16680
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2416
191.6 IPS |
|
|
Object Detection (HP)
|
97% |
3786
301.4 IPS |
|
|
Object Detection (Q)
|
94% |
2689
214.3 IPS |
|
|
Face Detection (SP)
|
100% |
4302
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
7802
92.7 IPS |
|
|
Face Detection (Q)
|
100% |
4445
52.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8623
66.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14630
113.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10196
79.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21701
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38245
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31490
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6064
223.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7218
266.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5057
186.7 IPS |
|
|
Text Classification (SP)
|
100% |
2920
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5623
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5626
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
4381
75.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7157
123.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7107
122.8 IPS |
