iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3442
Single Precision Score
6052
Half Precision Score
4911
Quantized Score
Geekbench AI 1.4.0-Beta1 Corporate for iOS AArch64
Result Information
| Upload Date | June 13 2025 01:32 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 7.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1358
252.5 IPS |
|
|
Image Classification (HP)
|
100% |
2495
464.0 IPS |
|
|
Image Classification (Q)
|
96% |
1752
327.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1465
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2390
38.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2751
44.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6846
7.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
15309
17.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
13130
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1538
122.0 IPS |
|
|
Object Detection (HP)
|
97% |
2823
224.7 IPS |
|
|
Object Detection (Q)
|
94% |
2049
163.3 IPS |
|
|
Face Detection (SP)
|
100% |
3079
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
6034
71.7 IPS |
|
|
Face Detection (Q)
|
100% |
3492
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5573
42.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11015
85.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7773
60.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18680
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29270
37.6 IPS |
|
|
Style Transfer (Q)
|
96% |
24206
31.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4055
149.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5078
187.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3741
138.1 IPS |
|
|
Text Classification (SP)
|
100% |
2248
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3844
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3797
5.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3814
65.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6743
116.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6746
116.6 IPS |
