iPad Pro 13-inch (M4)
Geekbench AI Score
4826
Single Precision Score
36719
Half Precision Score
51562
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | April 16 2026 03:57 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
2056
382.3 IPS |
|
|
Image Classification (HP)
|
100% |
17197
3.20 KIPS |
|
|
Image Classification (Q)
|
97% |
24406
4.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2148
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22110
358.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
30385
492.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9987
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122820
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
231125
270.9 IPS |
|
|
Object Detection (SP)
|
100% |
2413
191.4 IPS |
|
|
Object Detection (HP)
|
100% |
19080
1.51 KIPS |
|
|
Object Detection (Q)
|
91% |
26153
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
4280
50.9 IPS |
|
|
Face Detection (HP)
|
100% |
43030
511.3 IPS |
|
|
Face Detection (Q)
|
100% |
62931
747.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8569
66.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
99003
762.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
166913
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
22198
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
235154
302.3 IPS |
|
|
Style Transfer (Q)
|
96% |
297830
384.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6124
226.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49117
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82665
3.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2941
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
6095
8.14 KIPS |
|
|
Text Classification (Q)
|
93% |
6221
8.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
4395
75.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16675
287.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18422
318.4 IPS |
