iPad Pro (11-inch, 4th generation)
Geekbench AI Score
7536
Single Precision Score
8406
Half Precision Score
7744
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 26 2026 09:22 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
3703
688.6 IPS |
|
|
Image Classification (HP)
|
100% |
3688
685.8 IPS |
|
|
Image Classification (Q)
|
94% |
3296
616.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
5794
93.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5964
96.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
5694
92.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
24746
28.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
26782
31.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
26040
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
3642
288.9 IPS |
|
|
Object Detection (HP)
|
100% |
3710
294.3 IPS |
|
|
Object Detection (Q)
|
90% |
3537
282.8 IPS |
|
|
Face Detection (SP)
|
100% |
10824
128.6 IPS |
|
|
Face Detection (HP)
|
100% |
12529
148.9 IPS |
|
|
Face Detection (Q)
|
100% |
10237
121.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
16883
130.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
18105
139.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
16629
130.1 IPS |
|
|
Style Transfer (SP)
|
100% |
42765
55.0 IPS |
|
|
Style Transfer (HP)
|
100% |
49544
63.7 IPS |
|
|
Style Transfer (Q)
|
96% |
47706
61.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9793
361.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10229
377.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8875
327.7 IPS |
|
|
Text Classification (SP)
|
100% |
2291
3.06 KIPS |
|
|
Text Classification (HP)
|
99% |
3872
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
3849
5.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1744
30.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1812
31.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1618
28.0 IPS |
