iPad Pro (11-inch 3rd generation)
Geekbench AI Score
2854
Single Precision Score
4319
Half Precision Score
3601
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | demonknight9 |
| Upload Date | August 16 2024 05:47 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 7.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1311
243.8 IPS |
|
|
Image Classification (HP)
|
100% |
1696
315.3 IPS |
|
|
Image Classification (Q)
|
99% |
1690
315.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1173
19.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1171
19.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
1169
19.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5864
6.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
13509
15.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
11535
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1407
111.6 IPS |
|
|
Object Detection (HP)
|
97% |
1975
157.2 IPS |
|
|
Object Detection (Q)
|
94% |
1533
122.2 IPS |
|
|
Face Detection (SP)
|
100% |
2414
28.7 IPS |
|
|
Face Detection (HP)
|
100% |
4120
49.0 IPS |
|
|
Face Detection (Q)
|
100% |
2670
31.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5229
40.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8180
63.2 IPS |
|
|
Depth Estimation (Q)
|
96% |
4088
31.6 IPS |
|
|
Style Transfer (SP)
|
100% |
15952
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
24919
32.0 IPS |
|
|
Style Transfer (Q)
|
100% |
24907
32.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3395
125.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4372
161.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3367
124.7 IPS |
|
|
Text Classification (SP)
|
100% |
2296
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3761
5.02 KIPS |
|
|
Text Classification (Q)
|
93% |
3717
4.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
1802
31.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3089
53.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3088
53.4 IPS |
