iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3475
Single Precision Score
25917
Half Precision Score
28611
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | IAMTESTING |
| Upload Date | January 11 2025 03:08 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
1395
259.5 IPS |
|
|
Image Classification (HP)
|
100% |
14300
2.66 KIPS |
|
|
Image Classification (Q)
|
96% |
14381
2.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1539
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18921
306.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23833
386.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6881
8.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
105803
123.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
104691
122.7 IPS |
|
|
Object Detection (SP)
|
100% |
1576
125.0 IPS |
|
|
Object Detection (HP)
|
99% |
14959
1.19 KIPS |
|
|
Object Detection (Q)
|
91% |
17075
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3165
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
32377
384.7 IPS |
|
|
Face Detection (Q)
|
100% |
41869
497.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5682
43.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
84988
654.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
108458
847.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18859
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
201612
259.2 IPS |
|
|
Style Transfer (Q)
|
96% |
187191
241.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4045
149.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38986
1.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46624
1.72 KIPS |
|
|
Text Classification (SP)
|
100% |
2243
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3690
4.93 KIPS |
|
|
Text Classification (Q)
|
93% |
3677
4.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3592
61.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4002
68.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4118
71.2 IPS |
