iPad Pro (11-inch 3rd generation)
Geekbench AI Score
2856
Single Precision Score
4307
Half Precision Score
3734
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 04:02 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 17.7.2 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,6 |
| Motherboard | J518AP |
| 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 | 7.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1322
245.8 IPS |
|
|
Image Classification (HP)
|
100% |
1693
314.8 IPS |
|
|
Image Classification (Q)
|
96% |
1287
240.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1176
19.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1172
19.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1685
27.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5855
6.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
13498
15.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
11675
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1410
111.9 IPS |
|
|
Object Detection (HP)
|
97% |
1980
157.7 IPS |
|
|
Object Detection (Q)
|
94% |
1539
122.7 IPS |
|
|
Face Detection (SP)
|
100% |
2419
28.7 IPS |
|
|
Face Detection (HP)
|
100% |
4132
49.1 IPS |
|
|
Face Detection (Q)
|
100% |
2676
31.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5232
40.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
8214
63.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
6188
48.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16002
20.6 IPS |
|
|
Style Transfer (HP)
|
100% |
24909
32.0 IPS |
|
|
Style Transfer (Q)
|
96% |
21020
27.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3397
125.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4341
160.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3402
125.6 IPS |
|
|
Text Classification (SP)
|
100% |
2286
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3686
4.92 KIPS |
|
|
Text Classification (Q)
|
93% |
3716
4.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
1794
30.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3065
53.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3080
53.2 IPS |
