iPad Pro 13-inch (M4)
Geekbench AI Score
9070
Single Precision Score
11597
Half Precision Score
10830
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 25 2025 09:41 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| 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 | 15.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4570
849.9 IPS |
|
|
Image Classification (HP)
|
100% |
4928
916.4 IPS |
|
|
Image Classification (Q)
|
96% |
4431
827.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
7159
116.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7970
129.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7664
124.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
27108
31.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
30985
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30142
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4556
361.4 IPS |
|
|
Object Detection (HP)
|
100% |
5207
413.0 IPS |
|
|
Object Detection (Q)
|
92% |
4787
382.1 IPS |
|
|
Face Detection (SP)
|
100% |
12521
148.8 IPS |
|
|
Face Detection (HP)
|
100% |
16686
198.3 IPS |
|
|
Face Detection (Q)
|
100% |
13367
158.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
19947
153.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
22330
172.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
20145
157.3 IPS |
|
|
Style Transfer (SP)
|
100% |
28981
37.3 IPS |
|
|
Style Transfer (HP)
|
100% |
59896
77.0 IPS |
|
|
Style Transfer (Q)
|
96% |
65540
84.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11281
416.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11583
427.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10295
380.2 IPS |
|
|
Text Classification (SP)
|
100% |
3306
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
5778
7.71 KIPS |
|
|
Text Classification (Q)
|
93% |
5651
7.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3457
59.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4651
80.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4414
76.3 IPS |
