iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3457
Single Precision Score
6002
Half Precision Score
4862
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | JNALMUTRAFI |
| Upload Date | October 16 2025 12:40 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| Model | iPad Pro (11-inch, 4th generation) |
| Model ID | iPad14,3 |
| Motherboard | J617AP |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1399
260.2 IPS |
|
|
Image Classification (HP)
|
100% |
2522
469.1 IPS |
|
|
Image Classification (Q)
|
96% |
1757
328.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1492
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2434
39.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2788
45.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6826
7.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
15112
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12923
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1543
122.4 IPS |
|
|
Object Detection (HP)
|
97% |
2806
223.4 IPS |
|
|
Object Detection (Q)
|
94% |
2048
163.3 IPS |
|
|
Face Detection (SP)
|
100% |
3153
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
6020
71.5 IPS |
|
|
Face Detection (Q)
|
100% |
3474
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5613
43.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10957
84.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7656
59.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18590
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
28948
37.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23877
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4009
148.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4994
184.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3701
136.7 IPS |
|
|
Text Classification (SP)
|
100% |
2279
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3847
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3826
5.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3698
63.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6359
109.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6339
109.5 IPS |
