iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3238
Single Precision Score
5319
Half Precision Score
4393
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ofromdamo |
| Upload Date | November 01 2024 02:27 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,11 |
| Motherboard | J523xAP |
| 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% |
1400
260.3 IPS |
|
|
Image Classification (HP)
|
100% |
2168
403.3 IPS |
|
|
Image Classification (Q)
|
96% |
1559
291.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1397
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2204
35.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2593
42.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6532
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
13968
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12075
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1516
120.2 IPS |
|
|
Object Detection (HP)
|
97% |
2443
194.5 IPS |
|
|
Object Detection (Q)
|
94% |
1802
143.6 IPS |
|
|
Face Detection (SP)
|
100% |
3050
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
5612
66.7 IPS |
|
|
Face Detection (Q)
|
100% |
3222
38.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5813
44.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11071
85.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7663
59.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17155
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26296
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22055
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3764
139.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4486
165.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3398
125.5 IPS |
|
|
Text Classification (SP)
|
100% |
2275
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3912
5.22 KIPS |
|
|
Text Classification (Q)
|
93% |
3933
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2518
43.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3878
67.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4188
72.4 IPS |
