iPad Pro 11-inch (M4)
Geekbench AI Score
4955
Single Precision Score
8036
Half Precision Score
6463
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | ajmaus |
| Upload Date | September 20 2025 11:59 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2118
393.8 IPS |
|
|
Image Classification (HP)
|
100% |
3369
626.5 IPS |
|
|
Image Classification (Q)
|
96% |
2351
439.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2146
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3202
51.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3551
57.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9983
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19459
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16657
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2444
193.8 IPS |
|
|
Object Detection (HP)
|
97% |
3802
302.7 IPS |
|
|
Object Detection (Q)
|
94% |
2713
216.3 IPS |
|
|
Face Detection (SP)
|
100% |
4295
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
7668
91.1 IPS |
|
|
Face Detection (Q)
|
100% |
4404
52.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8540
65.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14104
109.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9950
77.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24685
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38719
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31688
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6009
221.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7066
260.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4979
183.8 IPS |
|
|
Text Classification (SP)
|
100% |
3252
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5915
7.89 KIPS |
|
|
Text Classification (Q)
|
93% |
6007
8.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
4556
78.5 IPS |
|
|
Machine Translation (HP)
|
98% |
8041
138.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8126
140.4 IPS |
