iPad Pro 13-inch (M4)
Geekbench AI Score
10134
Single Precision Score
12040
Half Precision Score
10991
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | foolsmac |
| Upload Date | January 08 2026 11:25 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| 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 | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4707
875.3 IPS |
|
|
Image Classification (HP)
|
100% |
5016
932.9 IPS |
|
|
Image Classification (Q)
|
94% |
4493
839.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
7138
115.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8031
130.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7762
125.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
27099
31.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
31007
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30171
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4748
376.6 IPS |
|
|
Object Detection (HP)
|
100% |
5330
422.7 IPS |
|
|
Object Detection (Q)
|
90% |
4884
390.5 IPS |
|
|
Face Detection (SP)
|
100% |
13147
156.2 IPS |
|
|
Face Detection (HP)
|
100% |
17805
211.6 IPS |
|
|
Face Detection (Q)
|
100% |
13934
165.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
20123
155.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
22479
173.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
20312
158.9 IPS |
|
|
Style Transfer (SP)
|
100% |
55885
71.8 IPS |
|
|
Style Transfer (HP)
|
100% |
67579
86.9 IPS |
|
|
Style Transfer (Q)
|
96% |
65364
84.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11288
416.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11579
427.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10298
380.3 IPS |
|
|
Text Classification (SP)
|
100% |
3225
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5941
7.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5817
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
4912
84.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5171
89.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4518
78.1 IPS |
