iPad Pro 11-inch (M4)
Geekbench AI Score
4843
Single Precision Score
7908
Half Precision Score
6324
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 23 2025 01:32 AM |
| Views | 2 |
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 | iPad16,4 |
| Motherboard | J718AP |
| 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% |
2103
391.1 IPS |
|
|
Image Classification (HP)
|
100% |
3342
621.5 IPS |
|
|
Image Classification (Q)
|
96% |
2336
436.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2190
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3239
52.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3602
58.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10001
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19505
22.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16667
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2414
191.5 IPS |
|
|
Object Detection (HP)
|
97% |
3781
301.0 IPS |
|
|
Object Detection (Q)
|
94% |
2690
214.4 IPS |
|
|
Face Detection (SP)
|
100% |
4339
51.6 IPS |
|
|
Face Detection (HP)
|
100% |
7718
91.7 IPS |
|
|
Face Detection (Q)
|
100% |
4420
52.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8612
66.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14573
112.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10199
79.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21868
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38324
49.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31563
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6095
225.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7214
266.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5041
186.1 IPS |
|
|
Text Classification (SP)
|
100% |
2912
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5411
7.22 KIPS |
|
|
Text Classification (Q)
|
93% |
5362
7.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
4406
75.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7126
123.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7057
121.9 IPS |
