iPad Pro (11-inch, 4th generation)
Geekbench AI Score
8043
Single Precision Score
8999
Half Precision Score
7852
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | yvectorfield |
| Upload Date | March 12 2026 09:09 AM |
| Views | 7 |
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 | iPad14,4 |
| Motherboard | J618AP |
| 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% |
3591
667.8 IPS |
|
|
Image Classification (HP)
|
100% |
3535
657.3 IPS |
|
|
Image Classification (Q)
|
94% |
3359
627.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
5760
93.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5927
96.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
5662
91.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
24693
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26677
31.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
25967
30.4 IPS |
|
|
Object Detection (SP)
|
100% |
3561
282.5 IPS |
|
|
Object Detection (HP)
|
100% |
3663
290.5 IPS |
|
|
Object Detection (Q)
|
91% |
3578
286.0 IPS |
|
|
Face Detection (SP)
|
100% |
10700
127.1 IPS |
|
|
Face Detection (HP)
|
100% |
12509
148.6 IPS |
|
|
Face Detection (Q)
|
100% |
11352
134.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
16691
128.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
18023
138.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
16801
131.4 IPS |
|
|
Style Transfer (SP)
|
100% |
42590
54.8 IPS |
|
|
Style Transfer (HP)
|
100% |
49346
63.4 IPS |
|
|
Style Transfer (Q)
|
96% |
47555
61.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9433
348.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10034
370.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8672
320.2 IPS |
|
|
Text Classification (SP)
|
100% |
2270
3.03 KIPS |
|
|
Text Classification (HP)
|
99% |
3758
5.02 KIPS |
|
|
Text Classification (Q)
|
93% |
3774
5.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3828
65.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4057
69.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1699
29.4 IPS |
