iPad Pro 13-inch (M4)
Geekbench AI Score
10028
Single Precision Score
11926
Half Precision Score
11044
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | alfred_heinze |
| Upload Date | January 16 2026 11:57 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| 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% |
4543
844.8 IPS |
|
|
Image Classification (HP)
|
100% |
5030
935.3 IPS |
|
|
Image Classification (Q)
|
96% |
4439
829.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
7128
115.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7970
129.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7694
124.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
27061
31.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
30995
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30154
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4589
364.0 IPS |
|
|
Object Detection (HP)
|
100% |
5236
415.3 IPS |
|
|
Object Detection (Q)
|
92% |
4793
382.6 IPS |
|
|
Face Detection (SP)
|
100% |
12605
149.8 IPS |
|
|
Face Detection (HP)
|
100% |
16811
199.8 IPS |
|
|
Face Detection (Q)
|
100% |
13407
159.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
20020
154.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
22361
172.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
20395
159.3 IPS |
|
|
Style Transfer (SP)
|
100% |
56062
72.1 IPS |
|
|
Style Transfer (HP)
|
100% |
67593
86.9 IPS |
|
|
Style Transfer (Q)
|
96% |
65568
84.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11344
418.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11740
433.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10284
379.8 IPS |
|
|
Text Classification (SP)
|
100% |
3231
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5720
7.64 KIPS |
|
|
Text Classification (Q)
|
93% |
5657
7.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
4936
85.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5247
90.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5244
90.6 IPS |
