iPad Pro 11-inch (M4)
Geekbench AI Score
4756
Single Precision Score
36521
Half Precision Score
52013
Quantized Score
Geekbench AI 1.6.0 Corporate for iOS AArch64
Result Information
| Upload Date | December 02 2025 08:11 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 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% |
2035
378.4 IPS |
|
|
Image Classification (HP)
|
100% |
17062
3.17 KIPS |
|
|
Image Classification (Q)
|
97% |
26498
4.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2146
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22163
359.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
30570
495.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9804
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
122646
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
230000
269.6 IPS |
|
|
Object Detection (SP)
|
100% |
2426
192.4 IPS |
|
|
Object Detection (HP)
|
100% |
18694
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
26144
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
4190
49.8 IPS |
|
|
Face Detection (HP)
|
100% |
43329
514.8 IPS |
|
|
Face Detection (Q)
|
100% |
63394
753.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8576
66.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
97703
752.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
165984
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
20867
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
232581
299.0 IPS |
|
|
Style Transfer (Q)
|
96% |
296742
382.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5967
220.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48739
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83475
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2917
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
6174
8.24 KIPS |
|
|
Text Classification (Q)
|
93% |
6308
8.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
4372
75.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16436
283.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18098
312.8 IPS |
