iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3215
Single Precision Score
15466
Half Precision Score
15203
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | December 15 2024 12:59 AM |
| Views | 16 |
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% |
1385
257.6 IPS |
|
|
Image Classification (HP)
|
100% |
6192
1.15 KIPS |
|
|
Image Classification (Q)
|
96% |
5863
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1379
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9716
157.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9985
161.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6508
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
66900
78.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
65754
77.1 IPS |
|
|
Object Detection (SP)
|
100% |
1501
119.1 IPS |
|
|
Object Detection (HP)
|
99% |
7209
573.5 IPS |
|
|
Object Detection (Q)
|
91% |
6710
536.2 IPS |
|
|
Face Detection (SP)
|
100% |
3026
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
16416
195.1 IPS |
|
|
Face Detection (Q)
|
100% |
15244
181.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5840
45.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
47275
364.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
47511
371.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17069
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
119822
154.0 IPS |
|
|
Style Transfer (Q)
|
96% |
112598
145.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3723
137.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23055
851.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23806
879.0 IPS |
|
|
Text Classification (SP)
|
100% |
2287
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3914
5.22 KIPS |
|
|
Text Classification (Q)
|
93% |
3877
5.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
2468
42.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3217
55.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3393
58.6 IPS |
