iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3240
Single Precision Score
5337
Half Precision Score
4679
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Wwessex |
| Upload Date | August 15 2024 08:59 PM |
| 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% |
1402
260.8 IPS |
|
|
Image Classification (HP)
|
100% |
2170
403.5 IPS |
|
|
Image Classification (Q)
|
99% |
2193
409.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1437
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2294
37.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
2202
35.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6534
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
13952
16.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
11908
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1519
120.5 IPS |
|
|
Object Detection (HP)
|
97% |
2443
194.5 IPS |
|
|
Object Detection (Q)
|
94% |
1802
143.7 IPS |
|
|
Face Detection (SP)
|
100% |
3037
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
5581
66.3 IPS |
|
|
Face Detection (Q)
|
100% |
3216
38.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5771
44.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11087
85.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
11071
85.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17185
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26312
33.8 IPS |
|
|
Style Transfer (Q)
|
100% |
26349
33.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3742
138.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4433
163.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3377
125.1 IPS |
|
|
Text Classification (SP)
|
100% |
2296
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4001
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
3937
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2467
42.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3832
66.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3893
67.3 IPS |
