iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3191
Single Precision Score
14538
Half Precision Score
13740
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | December 08 2024 11:52 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% |
1293
240.5 IPS |
|
|
Image Classification (HP)
|
100% |
5865
1.09 KIPS |
|
|
Image Classification (Q)
|
96% |
5544
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1373
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9268
150.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
8347
135.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6510
7.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
67511
78.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
66068
77.4 IPS |
|
|
Object Detection (SP)
|
100% |
1505
119.4 IPS |
|
|
Object Detection (HP)
|
99% |
4142
329.5 IPS |
|
|
Object Detection (Q)
|
91% |
6661
532.2 IPS |
|
|
Face Detection (SP)
|
100% |
2993
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
16500
196.1 IPS |
|
|
Face Detection (Q)
|
100% |
15656
186.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5803
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
47080
362.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
46841
366.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17127
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
120026
154.3 IPS |
|
|
Style Transfer (Q)
|
96% |
112559
145.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3749
138.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23153
854.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11638
429.7 IPS |
|
|
Text Classification (SP)
|
100% |
2281
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4038
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
3649
4.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
2475
42.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3184
54.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3360
58.1 IPS |
