iPad Pro 13-inch (M4)
Geekbench AI Score
4959
Single Precision Score
8061
Half Precision Score
6484
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 11 2026 04:01 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2123
394.8 IPS |
|
|
Image Classification (HP)
|
100% |
3398
631.9 IPS |
|
|
Image Classification (Q)
|
96% |
2367
441.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2107
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3153
51.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3571
57.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10072
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19496
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16676
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2458
194.9 IPS |
|
|
Object Detection (HP)
|
97% |
3804
302.9 IPS |
|
|
Object Detection (Q)
|
94% |
2720
216.8 IPS |
|
|
Face Detection (SP)
|
100% |
4308
51.2 IPS |
|
|
Face Detection (HP)
|
100% |
7793
92.6 IPS |
|
|
Face Detection (Q)
|
100% |
4487
53.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8575
66.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14162
109.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9969
77.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24531
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38741
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31931
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6101
225.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7124
263.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4983
184.0 IPS |
|
|
Text Classification (SP)
|
100% |
3198
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5940
7.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5963
8.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
4594
79.1 IPS |
|
|
Machine Translation (HP)
|
98% |
8067
139.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8073
139.5 IPS |
