iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3237
Single Precision Score
5341
Half Precision Score
4397
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 19 2024 05:42 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,8 |
| Motherboard | J522AP |
| 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 | 7.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1404
261.1 IPS |
|
|
Image Classification (HP)
|
100% |
2176
404.7 IPS |
|
|
Image Classification (Q)
|
96% |
1557
290.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1391
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2212
35.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2593
42.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6541
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
13937
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12040
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1510
119.8 IPS |
|
|
Object Detection (HP)
|
97% |
2443
194.5 IPS |
|
|
Object Detection (Q)
|
94% |
1801
143.5 IPS |
|
|
Face Detection (SP)
|
100% |
3065
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
5608
66.6 IPS |
|
|
Face Detection (Q)
|
100% |
3225
38.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5815
44.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11076
85.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7656
59.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17164
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26318
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22010
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3760
138.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4509
166.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3415
126.1 IPS |
|
|
Text Classification (SP)
|
100% |
2298
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4010
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3938
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2483
42.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3902
67.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4227
73.0 IPS |
