iPad Pro 11-inch (M4)
Geekbench AI Score
4862
Single Precision Score
7957
Half Precision Score
6355
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 16 2025 01:25 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| 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 | 15.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2100
390.5 IPS |
|
|
Image Classification (HP)
|
100% |
3359
624.7 IPS |
|
|
Image Classification (Q)
|
96% |
2305
430.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2190
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3258
52.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3631
58.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10009
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19473
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16606
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2420
191.9 IPS |
|
|
Object Detection (HP)
|
97% |
3839
305.6 IPS |
|
|
Object Detection (Q)
|
94% |
2699
215.1 IPS |
|
|
Face Detection (SP)
|
100% |
4301
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
7759
92.2 IPS |
|
|
Face Detection (Q)
|
100% |
4416
52.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8581
66.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14502
112.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10161
79.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21798
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38510
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31559
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6115
225.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7233
267.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5116
188.9 IPS |
|
|
Text Classification (SP)
|
100% |
3073
4.10 KIPS |
|
|
Text Classification (HP)
|
100% |
5526
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5405
7.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
4392
75.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7183
124.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7324
126.6 IPS |
