iPad Pro 11-inch (M4)
Geekbench AI Score
4834
Single Precision Score
7920
Half Precision Score
6300
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 10 2025 02:31 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
2069
384.7 IPS |
|
|
Image Classification (HP)
|
100% |
3353
623.6 IPS |
|
|
Image Classification (Q)
|
96% |
2291
427.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2183
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3226
52.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3539
57.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9996
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19485
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16628
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2404
190.7 IPS |
|
|
Object Detection (HP)
|
97% |
3783
301.2 IPS |
|
|
Object Detection (Q)
|
94% |
2688
214.3 IPS |
|
|
Face Detection (SP)
|
100% |
4307
51.2 IPS |
|
|
Face Detection (HP)
|
100% |
7707
91.6 IPS |
|
|
Face Detection (Q)
|
100% |
4398
52.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8602
66.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14550
112.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10170
79.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21800
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38259
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31456
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6105
225.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7288
269.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5076
187.4 IPS |
|
|
Text Classification (SP)
|
100% |
2973
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5438
7.26 KIPS |
|
|
Text Classification (Q)
|
93% |
5311
7.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
4386
75.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7170
123.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7176
124.0 IPS |
