iPad Pro 13-inch (M4)
Geekbench AI Score
3630
Single Precision Score
33220
Half Precision Score
47897
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 07 2026 12:20 PM |
| Views | 11 |
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 | iPad16,5 |
| Motherboard | J720AP |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1904
354.1 IPS |
|
|
Image Classification (HP)
|
100% |
18460
3.43 KIPS |
|
|
Image Classification (Q)
|
97% |
26551
4.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1724
28.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
21711
352.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
29734
482.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8229
9.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
120921
141.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
228155
267.4 IPS |
|
|
Object Detection (SP)
|
100% |
2271
180.1 IPS |
|
|
Object Detection (HP)
|
100% |
19042
1.51 KIPS |
|
|
Object Detection (Q)
|
91% |
27146
2.17 KIPS |
|
|
Face Detection (SP)
|
100% |
3834
45.6 IPS |
|
|
Face Detection (HP)
|
100% |
40727
483.9 IPS |
|
|
Face Detection (Q)
|
100% |
60409
717.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4936
38.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
90009
693.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
163045
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
13124
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
154582
198.7 IPS |
|
|
Style Transfer (Q)
|
96% |
244077
315.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4183
154.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49975
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82057
3.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2252
3.01 KIPS |
|
|
Text Classification (HP)
|
99% |
4358
5.82 KIPS |
|
|
Text Classification (Q)
|
93% |
4236
5.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
2769
47.7 IPS |
|
|
Machine Translation (HP)
|
100% |
14372
247.6 IPS |
|
|
Machine Translation (Q)
|
98% |
15553
268.8 IPS |
