iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3226
Single Precision Score
15565
Half Precision Score
15280
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | tboneuk1691 |
| Upload Date | December 05 2024 10:35 PM |
| 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% |
1383
257.2 IPS |
|
|
Image Classification (HP)
|
100% |
6440
1.20 KIPS |
|
|
Image Classification (Q)
|
96% |
5919
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1381
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9725
157.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9973
161.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6542
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
66405
77.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
65722
77.0 IPS |
|
|
Object Detection (SP)
|
100% |
1507
119.5 IPS |
|
|
Object Detection (HP)
|
99% |
7211
573.6 IPS |
|
|
Object Detection (Q)
|
91% |
6745
539.0 IPS |
|
|
Face Detection (SP)
|
100% |
3047
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
16477
195.8 IPS |
|
|
Face Detection (Q)
|
100% |
15325
182.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5825
44.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
47275
364.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
47945
374.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17117
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
120425
154.8 IPS |
|
|
Style Transfer (Q)
|
96% |
112271
144.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3753
138.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23095
852.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23791
878.5 IPS |
|
|
Text Classification (SP)
|
100% |
2287
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3963
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
3961
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2489
42.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3242
55.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3412
59.0 IPS |
