iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3231
Single Precision Score
14578
Half Precision Score
14254
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | DragonLand |
| Upload Date | September 22 2024 03:35 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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 | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1379
256.4 IPS |
|
|
Image Classification (HP)
|
100% |
6419
1.19 KIPS |
|
|
Image Classification (Q)
|
96% |
6037
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1400
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6548
106.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
6778
109.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6480
7.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
69741
81.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
66541
78.0 IPS |
|
|
Object Detection (SP)
|
100% |
1507
119.5 IPS |
|
|
Object Detection (HP)
|
99% |
7482
595.2 IPS |
|
|
Object Detection (Q)
|
91% |
7015
560.6 IPS |
|
|
Face Detection (SP)
|
100% |
3021
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
16314
193.8 IPS |
|
|
Face Detection (Q)
|
100% |
15100
179.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5822
44.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
48635
374.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
48932
382.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17253
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
121011
155.6 IPS |
|
|
Style Transfer (Q)
|
96% |
114867
148.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3803
140.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24064
888.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24233
894.8 IPS |
|
|
Text Classification (SP)
|
100% |
2315
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
3800
5.07 KIPS |
|
|
Text Classification (Q)
|
93% |
3824
5.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
2464
42.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2252
38.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2305
39.8 IPS |
