iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3225
Single Precision Score
15552
Half Precision Score
15270
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | December 09 2024 03:54 AM |
| 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% |
1384
257.4 IPS |
|
|
Image Classification (HP)
|
100% |
6269
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5991
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1377
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9772
158.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10030
162.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6531
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
66968
78.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
65786
77.1 IPS |
|
|
Object Detection (SP)
|
100% |
1511
119.9 IPS |
|
|
Object Detection (HP)
|
99% |
7239
575.9 IPS |
|
|
Object Detection (Q)
|
91% |
6674
533.3 IPS |
|
|
Face Detection (SP)
|
100% |
3051
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
16443
195.4 IPS |
|
|
Face Detection (Q)
|
100% |
15219
180.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5818
44.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
47258
364.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
47707
372.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17138
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
119808
154.0 IPS |
|
|
Style Transfer (Q)
|
96% |
112517
145.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3754
138.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23140
854.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23775
877.9 IPS |
|
|
Text Classification (SP)
|
100% |
2286
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4000
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
3961
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2480
42.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3235
55.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3397
58.7 IPS |
