iPad Pro 11-inch (M4)
Geekbench AI Score
4574
Single Precision Score
36687
Half Precision Score
53309
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 11 2025 12:41 PM |
| Views | 1 |
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% |
1971
366.5 IPS |
|
|
Image Classification (HP)
|
100% |
17664
3.28 KIPS |
|
|
Image Classification (Q)
|
97% |
26458
4.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2038
33.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
21900
355.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
30264
490.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9320
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
122285
142.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
230364
270.0 IPS |
|
|
Object Detection (SP)
|
100% |
2313
183.4 IPS |
|
|
Object Detection (HP)
|
100% |
18695
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
26460
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
3898
46.3 IPS |
|
|
Face Detection (HP)
|
100% |
42892
509.6 IPS |
|
|
Face Detection (Q)
|
100% |
63497
754.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8256
63.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
98405
758.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
169788
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
19715
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
233760
300.5 IPS |
|
|
Style Transfer (Q)
|
96% |
298755
385.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5846
215.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49741
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85653
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
2957
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
6521
8.70 KIPS |
|
|
Text Classification (Q)
|
93% |
7769
10.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
4228
72.8 IPS |
|
|
Machine Translation (HP)
|
100% |
15610
268.9 IPS |
|
|
Machine Translation (Q)
|
98% |
17720
306.2 IPS |
