iPad Pro 11-inch (M4)
Geekbench AI Score
5081
Single Precision Score
38240
Half Precision Score
53709
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | March 05 2026 08:45 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,4 |
| Motherboard | J718AP |
| 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% |
2112
392.7 IPS |
|
|
Image Classification (HP)
|
100% |
16542
3.08 KIPS |
|
|
Image Classification (Q)
|
97% |
23551
4.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2137
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22269
361.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
31535
511.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8842
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
122374
142.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
231897
271.8 IPS |
|
|
Object Detection (SP)
|
100% |
2471
196.0 IPS |
|
|
Object Detection (HP)
|
100% |
18020
1.43 KIPS |
|
|
Object Detection (Q)
|
89% |
25908
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4535
53.9 IPS |
|
|
Face Detection (HP)
|
100% |
44727
531.5 IPS |
|
|
Face Detection (Q)
|
100% |
69340
823.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8135
62.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
100468
774.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
165641
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
23060
29.6 IPS |
|
|
Style Transfer (HP)
|
100% |
234336
301.2 IPS |
|
|
Style Transfer (Q)
|
96% |
286738
370.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5336
197.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51589
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81237
3.00 KIPS |
|
|
Text Classification (SP)
|
99% |
5816
7.76 KIPS |
|
|
Text Classification (HP)
|
99% |
9317
12.4 KIPS |
|
|
Text Classification (Q)
|
93% |
9387
12.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
4412
76.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16264
280.2 IPS |
|
|
Machine Translation (Q)
|
98% |
17827
308.1 IPS |
