iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3231
Single Precision Score
5331
Half Precision Score
4403
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Wwessex |
| Upload Date | October 11 2024 04:01 AM |
| Views | 5 |
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% |
1399
260.1 IPS |
|
|
Image Classification (HP)
|
100% |
2177
404.8 IPS |
|
|
Image Classification (Q)
|
96% |
1561
291.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1374
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2208
35.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2594
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6543
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
13962
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12058
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1521
120.6 IPS |
|
|
Object Detection (HP)
|
97% |
2445
194.6 IPS |
|
|
Object Detection (Q)
|
94% |
1799
143.4 IPS |
|
|
Face Detection (SP)
|
100% |
3066
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
5615
66.7 IPS |
|
|
Face Detection (Q)
|
100% |
3232
38.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5767
44.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11077
85.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7680
60.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17165
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26514
34.1 IPS |
|
|
Style Transfer (Q)
|
96% |
22102
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3783
139.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4443
164.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3429
126.6 IPS |
|
|
Text Classification (SP)
|
100% |
2282
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3919
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3935
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2474
42.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3937
68.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4218
72.9 IPS |
