iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3234
Single Precision Score
16294
Half Precision Score
16019
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | rafaexnexus |
| Upload Date | October 21 2024 11:38 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1394
259.3 IPS |
|
|
Image Classification (HP)
|
100% |
6190
1.15 KIPS |
|
|
Image Classification (Q)
|
96% |
5900
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1385
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9747
158.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10042
162.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6537
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
66726
77.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
65667
77.0 IPS |
|
|
Object Detection (SP)
|
100% |
1513
120.0 IPS |
|
|
Object Detection (HP)
|
99% |
7212
573.7 IPS |
|
|
Object Detection (Q)
|
91% |
6714
536.5 IPS |
|
|
Face Detection (SP)
|
100% |
3058
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
16496
196.0 IPS |
|
|
Face Detection (Q)
|
100% |
15159
180.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5802
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
47279
364.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
48005
375.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17157
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
120210
154.5 IPS |
|
|
Style Transfer (Q)
|
96% |
112075
144.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3745
138.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23231
857.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23967
885.0 IPS |
|
|
Text Classification (SP)
|
100% |
2312
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
3878
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3907
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2491
42.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5381
92.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5578
96.4 IPS |
