iPad Pro (11-inch 3rd generation)
Geekbench AI Score
2362
Single Precision Score
3882
Half Precision Score
3481
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 03:05 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,4 |
| Motherboard | J517AP |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
890
165.4 IPS |
|
|
Image Classification (HP)
|
100% |
2293
426.5 IPS |
|
|
Image Classification (Q)
|
97% |
2004
373.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
5626
91.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5625
91.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5785
93.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
21021
24.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
43932
51.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
48444
56.8 IPS |
|
|
Object Detection (SP)
|
100% |
1601
127.0 IPS |
|
|
Object Detection (HP)
|
100% |
1524
120.9 IPS |
|
|
Object Detection (Q)
|
93% |
1881
150.0 IPS |
|
|
Face Detection (SP)
|
100% |
7653
90.9 IPS |
|
|
Face Detection (HP)
|
100% |
18453
219.3 IPS |
|
|
Face Detection (Q)
|
100% |
10958
130.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12470
96.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
22730
175.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
11715
91.5 IPS |
|
|
Style Transfer (SP)
|
100% |
37930
48.8 IPS |
|
|
Style Transfer (HP)
|
100% |
81528
104.8 IPS |
|
|
Style Transfer (Q)
|
96% |
91392
117.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3124
115.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4614
170.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3981
147.0 IPS |
|
|
Text Classification (SP)
|
100% |
2848
3.80 KIPS |
|
|
Text Classification (HP)
|
99% |
5718
7.63 KIPS |
|
|
Text Classification (Q)
|
93% |
5307
7.12 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
6.34 IPS |
|
|
Machine Translation (HP)
|
0% |
0
6.50 IPS |
|
|
Machine Translation (Q)
|
0% |
0
5.63 IPS |
