iPad Pro 13-inch (M4)
Geekbench AI Score
10097
Single Precision Score
11968
Half Precision Score
11118
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 26 2026 09:45 AM |
| Views | 2 |
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% |
4534
843.2 IPS |
|
|
Image Classification (HP)
|
100% |
5025
934.5 IPS |
|
|
Image Classification (Q)
|
96% |
4511
842.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
7159
116.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8044
130.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7722
125.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
27128
31.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
30971
36.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
30192
35.4 IPS |
|
|
Object Detection (SP)
|
100% |
4598
364.7 IPS |
|
|
Object Detection (HP)
|
100% |
5312
421.4 IPS |
|
|
Object Detection (Q)
|
92% |
4902
391.2 IPS |
|
|
Face Detection (SP)
|
100% |
12796
152.0 IPS |
|
|
Face Detection (HP)
|
100% |
16875
200.5 IPS |
|
|
Face Detection (Q)
|
100% |
13564
161.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
20088
154.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
22350
172.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
20287
158.5 IPS |
|
|
Style Transfer (SP)
|
100% |
55689
71.6 IPS |
|
|
Style Transfer (HP)
|
100% |
67173
86.4 IPS |
|
|
Style Transfer (Q)
|
96% |
65310
84.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11411
421.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11774
434.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10357
382.4 IPS |
|
|
Text Classification (SP)
|
100% |
3385
4.52 KIPS |
|
|
Text Classification (HP)
|
99% |
5755
7.68 KIPS |
|
|
Text Classification (Q)
|
93% |
5676
7.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
4924
84.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5285
91.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5299
91.6 IPS |
