iPad Pro 11-inch (M4)
Geekbench AI Score
4816
Single Precision Score
36741
Half Precision Score
51283
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 07 2025 08:38 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| 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 | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2047
380.7 IPS |
|
|
Image Classification (HP)
|
100% |
18701
3.48 KIPS |
|
|
Image Classification (Q)
|
97% |
23991
4.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2056
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22488
364.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
30761
498.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9843
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
122846
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
226614
265.6 IPS |
|
|
Object Detection (SP)
|
100% |
2411
191.3 IPS |
|
|
Object Detection (HP)
|
100% |
18199
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
26168
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
4239
50.4 IPS |
|
|
Face Detection (HP)
|
100% |
42705
507.4 IPS |
|
|
Face Detection (Q)
|
100% |
62468
742.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8499
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
98818
761.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
164626
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
22256
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
232392
298.7 IPS |
|
|
Style Transfer (Q)
|
96% |
319694
412.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6027
222.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50524
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82792
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3157
4.21 KIPS |
|
|
Text Classification (HP)
|
99% |
6023
8.04 KIPS |
|
|
Text Classification (Q)
|
93% |
5797
7.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
4405
75.9 IPS |
|
|
Machine Translation (HP)
|
100% |
15978
275.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18223
314.9 IPS |
