iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3269
Single Precision Score
15669
Half Precision Score
15360
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | davidblue |
| Upload Date | November 06 2024 06:59 AM |
| Views | 4 |
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% |
1398
260.1 IPS |
|
|
Image Classification (HP)
|
100% |
6050
1.13 KIPS |
|
|
Image Classification (Q)
|
96% |
5783
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1445
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9814
159.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10098
163.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6517
7.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
69376
81.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
65934
77.3 IPS |
|
|
Object Detection (SP)
|
100% |
1510
119.8 IPS |
|
|
Object Detection (HP)
|
99% |
7339
583.8 IPS |
|
|
Object Detection (Q)
|
91% |
6656
531.8 IPS |
|
|
Face Detection (SP)
|
100% |
3068
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
16735
198.8 IPS |
|
|
Face Detection (Q)
|
100% |
15345
182.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5771
44.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
47607
366.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
48771
381.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17324
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
121156
155.7 IPS |
|
|
Style Transfer (Q)
|
96% |
115016
148.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3811
140.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23100
853.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24259
895.8 IPS |
|
|
Text Classification (SP)
|
100% |
2332
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4053
5.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4061
5.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
2575
44.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3267
56.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3364
58.1 IPS |
