iPad Pro 13-inch (M4)
Geekbench AI Score
4920
Single Precision Score
36309
Half Precision Score
51640
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | alfred_heinze |
| Upload Date | January 16 2026 12:00 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2113
392.9 IPS |
|
|
Image Classification (HP)
|
100% |
16993
3.16 KIPS |
|
|
Image Classification (Q)
|
97% |
25553
4.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2100
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22284
361.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
30621
496.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10016
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123492
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
232096
272.0 IPS |
|
|
Object Detection (SP)
|
100% |
2432
192.9 IPS |
|
|
Object Detection (HP)
|
100% |
17663
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
26561
2.12 KIPS |
|
|
Face Detection (SP)
|
100% |
4256
50.6 IPS |
|
|
Face Detection (HP)
|
100% |
43328
514.8 IPS |
|
|
Face Detection (Q)
|
100% |
62456
742.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8500
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
98664
760.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
159864
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
24238
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
233340
300.0 IPS |
|
|
Style Transfer (Q)
|
96% |
319977
412.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6025
222.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50860
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85828
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3212
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5732
7.65 KIPS |
|
|
Text Classification (Q)
|
93% |
5648
7.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
4532
78.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16583
285.6 IPS |
|
|
Machine Translation (Q)
|
98% |
18052
312.0 IPS |
