iPad Pro 11-inch (M4)
Geekbench AI Score
9378
Single Precision Score
10715
Half Precision Score
10219
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 28 2025 04:38 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
4409
820.0 IPS |
|
|
Image Classification (HP)
|
100% |
4772
887.5 IPS |
|
|
Image Classification (Q)
|
96% |
4507
841.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
7109
115.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7909
128.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7618
123.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
27619
32.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
29708
34.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
29398
34.4 IPS |
|
|
Object Detection (SP)
|
100% |
4557
361.4 IPS |
|
|
Object Detection (HP)
|
100% |
5149
408.4 IPS |
|
|
Object Detection (Q)
|
92% |
4757
379.7 IPS |
|
|
Face Detection (SP)
|
100% |
12727
151.2 IPS |
|
|
Face Detection (HP)
|
100% |
16631
197.6 IPS |
|
|
Face Detection (Q)
|
100% |
13525
160.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
20297
156.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
21693
167.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
20000
156.2 IPS |
|
|
Style Transfer (SP)
|
100% |
56335
72.4 IPS |
|
|
Style Transfer (HP)
|
100% |
65646
84.4 IPS |
|
|
Style Transfer (Q)
|
96% |
63991
82.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11809
436.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11621
429.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10378
383.2 IPS |
|
|
Text Classification (SP)
|
100% |
2958
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5356
7.15 KIPS |
|
|
Text Classification (Q)
|
93% |
5290
7.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
2625
45.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2345
40.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2722
47.0 IPS |
