iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3095
Single Precision Score
5440
Half Precision Score
4461
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Jolo |
| Upload Date | February 14 2026 07:36 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,4 |
| Motherboard | J517AP |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1312
244.0 IPS |
|
|
Image Classification (HP)
|
100% |
2214
411.7 IPS |
|
|
Image Classification (Q)
|
96% |
1580
295.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1318
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2143
34.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2539
41.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6009
7.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
14158
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12146
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1383
109.7 IPS |
|
|
Object Detection (HP)
|
97% |
2426
193.1 IPS |
|
|
Object Detection (Q)
|
94% |
1790
142.7 IPS |
|
|
Face Detection (SP)
|
100% |
2984
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
5458
64.9 IPS |
|
|
Face Detection (Q)
|
100% |
3172
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5468
42.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10449
80.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7370
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16501
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26281
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21839
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3466
128.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4633
171.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3523
130.1 IPS |
|
|
Text Classification (SP)
|
100% |
2415
3.22 KIPS |
|
|
Text Classification (HP)
|
99% |
4205
5.61 KIPS |
|
|
Text Classification (Q)
|
93% |
4160
5.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
2494
43.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4776
82.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4788
82.7 IPS |
