iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3253
Single Precision Score
15816
Half Precision Score
15477
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | davidblue |
| Upload Date | November 12 2024 07:44 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 (12.9-inch 5th generation) |
| Model ID | iPad13,9 |
| Motherboard | J522xAP |
| 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 | 15.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1377
256.1 IPS |
|
|
Image Classification (HP)
|
100% |
6340
1.18 KIPS |
|
|
Image Classification (Q)
|
96% |
6061
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1403
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9734
157.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10083
163.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6530
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
69690
81.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
66456
77.9 IPS |
|
|
Object Detection (SP)
|
100% |
1517
120.3 IPS |
|
|
Object Detection (HP)
|
99% |
7526
598.7 IPS |
|
|
Object Detection (Q)
|
91% |
6676
533.4 IPS |
|
|
Face Detection (SP)
|
100% |
3014
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
16713
198.6 IPS |
|
|
Face Detection (Q)
|
100% |
15528
184.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5827
44.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
46974
361.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
48589
379.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17265
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
121459
156.1 IPS |
|
|
Style Transfer (Q)
|
96% |
115027
148.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3823
141.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23910
882.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24493
904.4 IPS |
|
|
Text Classification (SP)
|
100% |
2354
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
4076
5.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4062
5.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
2547
43.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3258
56.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3369
58.2 IPS |
