iPad Pro (11-inch, 4th generation)
Geekbench AI Score
7497
Single Precision Score
8342
Half Precision Score
7721
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 02 2025 08:42 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
3728
693.3 IPS |
|
|
Image Classification (HP)
|
100% |
3687
685.7 IPS |
|
|
Image Classification (Q)
|
96% |
3377
630.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
5780
93.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5935
96.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5683
92.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
24746
28.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
26835
31.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
26010
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
3573
283.4 IPS |
|
|
Object Detection (HP)
|
100% |
3641
288.8 IPS |
|
|
Object Detection (Q)
|
92% |
3428
273.6 IPS |
|
|
Face Detection (SP)
|
100% |
10428
123.9 IPS |
|
|
Face Detection (HP)
|
100% |
12094
143.7 IPS |
|
|
Face Detection (Q)
|
100% |
10007
118.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
16905
130.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
18222
140.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
16607
129.7 IPS |
|
|
Style Transfer (SP)
|
100% |
43120
55.4 IPS |
|
|
Style Transfer (HP)
|
100% |
49208
63.3 IPS |
|
|
Style Transfer (Q)
|
96% |
47687
61.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9814
362.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10217
377.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8827
325.9 IPS |
|
|
Text Classification (SP)
|
100% |
2241
2.99 KIPS |
|
|
Text Classification (HP)
|
99% |
3687
4.92 KIPS |
|
|
Text Classification (Q)
|
93% |
3667
4.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1761
30.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1869
32.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1716
29.7 IPS |
