iPad Pro 11-inch (M4)
Geekbench AI Score
4860
Single Precision Score
7928
Half Precision Score
6356
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 02 2025 10:13 PM |
| Views | 1 |
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, 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% |
2100
390.5 IPS |
|
|
Image Classification (HP)
|
100% |
3372
627.1 IPS |
|
|
Image Classification (Q)
|
96% |
2335
436.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2214
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3239
52.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3599
58.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10011
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19532
22.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16669
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2414
191.5 IPS |
|
|
Object Detection (HP)
|
97% |
3792
301.9 IPS |
|
|
Object Detection (Q)
|
94% |
2695
214.8 IPS |
|
|
Face Detection (SP)
|
100% |
4331
51.5 IPS |
|
|
Face Detection (HP)
|
100% |
7780
92.4 IPS |
|
|
Face Detection (Q)
|
100% |
4431
52.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8634
66.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14535
112.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10173
79.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22169
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38134
49.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31571
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6140
226.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7218
266.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5070
187.2 IPS |
|
|
Text Classification (SP)
|
100% |
2921
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5546
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5589
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
4409
75.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7027
121.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7072
122.2 IPS |
