iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3206
Single Precision Score
15384
Half Precision Score
15051
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | December 04 2024 03:59 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1391
258.6 IPS |
|
|
Image Classification (HP)
|
100% |
6169
1.15 KIPS |
|
|
Image Classification (Q)
|
96% |
5735
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1376
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9737
157.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10036
162.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6523
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
66830
78.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
66168
77.6 IPS |
|
|
Object Detection (SP)
|
100% |
1497
118.8 IPS |
|
|
Object Detection (HP)
|
99% |
7305
581.1 IPS |
|
|
Object Detection (Q)
|
91% |
6596
527.0 IPS |
|
|
Face Detection (SP)
|
100% |
3017
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
16314
193.8 IPS |
|
|
Face Detection (Q)
|
100% |
15189
180.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5765
44.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
47413
365.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
47046
367.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17086
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
119782
154.0 IPS |
|
|
Style Transfer (Q)
|
96% |
113453
146.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3745
138.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22830
843.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23412
864.5 IPS |
|
|
Text Classification (SP)
|
100% |
2232
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3764
5.02 KIPS |
|
|
Text Classification (Q)
|
93% |
3725
5.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
2477
42.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3182
54.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3359
58.0 IPS |
