iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3150
Single Precision Score
18492
Half Precision Score
21683
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | loismustdie1 |
| Upload Date | November 24 2025 12:21 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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 | 15.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1206
224.3 IPS |
|
|
Image Classification (HP)
|
100% |
9530
1.77 KIPS |
|
|
Image Classification (Q)
|
96% |
10717
2.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1358
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
14643
237.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
19210
311.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6198
7.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
74905
87.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
87130
102.1 IPS |
|
|
Object Detection (SP)
|
100% |
1346
106.8 IPS |
|
|
Object Detection (HP)
|
99% |
8299
660.2 IPS |
|
|
Object Detection (Q)
|
91% |
10694
854.5 IPS |
|
|
Face Detection (SP)
|
100% |
2774
33.0 IPS |
|
|
Face Detection (HP)
|
100% |
18824
223.7 IPS |
|
|
Face Detection (Q)
|
100% |
25079
298.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5142
39.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
62474
481.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
81632
637.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17286
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
141308
181.7 IPS |
|
|
Style Transfer (Q)
|
96% |
134647
173.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3724
137.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24752
914.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31781
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
2293
3.06 KIPS |
|
|
Text Classification (HP)
|
99% |
3780
5.05 KIPS |
|
|
Text Classification (Q)
|
93% |
3763
5.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3351
57.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3467
59.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3634
62.8 IPS |
