iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3249
Single Precision Score
16261
Half Precision Score
15901
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | davidblue |
| Upload Date | October 21 2024 07:40 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1393
259.1 IPS |
|
|
Image Classification (HP)
|
100% |
6171
1.15 KIPS |
|
|
Image Classification (Q)
|
96% |
5571
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1382
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9708
157.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
9969
161.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6534
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
68428
79.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
66138
77.5 IPS |
|
|
Object Detection (SP)
|
100% |
1513
120.0 IPS |
|
|
Object Detection (HP)
|
99% |
7214
573.9 IPS |
|
|
Object Detection (Q)
|
91% |
6705
535.8 IPS |
|
|
Face Detection (SP)
|
100% |
3049
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
16462
195.6 IPS |
|
|
Face Detection (Q)
|
100% |
15238
181.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5830
44.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
47173
363.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
46708
365.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17234
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
121456
156.1 IPS |
|
|
Style Transfer (Q)
|
96% |
113861
146.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3813
140.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22367
825.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24010
886.6 IPS |
|
|
Text Classification (SP)
|
100% |
2304
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3908
5.22 KIPS |
|
|
Text Classification (Q)
|
93% |
3879
5.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2566
44.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5304
91.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5562
96.1 IPS |
