iPad Pro (11-inch, 4th generation)
Geekbench AI Score
8180
Single Precision Score
9188
Half Precision Score
8123
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | semperfidelis316 |
| Upload Date | March 18 2026 02:46 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| 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 | 7.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3674
683.2 IPS |
|
|
Image Classification (HP)
|
100% |
3673
683.0 IPS |
|
|
Image Classification (Q)
|
94% |
3392
634.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
5787
93.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5978
96.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
5684
92.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
24736
28.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
26816
31.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
26148
30.6 IPS |
|
|
Object Detection (SP)
|
100% |
3658
290.1 IPS |
|
|
Object Detection (HP)
|
100% |
3690
292.7 IPS |
|
|
Object Detection (Q)
|
91% |
3672
293.5 IPS |
|
|
Face Detection (SP)
|
100% |
10771
128.0 IPS |
|
|
Face Detection (HP)
|
100% |
12512
148.7 IPS |
|
|
Face Detection (Q)
|
100% |
11450
136.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
16914
130.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
18212
140.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
17044
133.3 IPS |
|
|
Style Transfer (SP)
|
100% |
42749
55.0 IPS |
|
|
Style Transfer (HP)
|
100% |
49566
63.7 IPS |
|
|
Style Transfer (Q)
|
96% |
47699
61.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9616
355.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10286
379.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8827
325.9 IPS |
|
|
Text Classification (SP)
|
100% |
2299
3.07 KIPS |
|
|
Text Classification (HP)
|
99% |
3885
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
3892
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
4053
69.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4375
75.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2113
36.5 IPS |
