iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3236
Single Precision Score
5323
Half Precision Score
4400
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 08:47 PM |
| Views | 1 |
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
260.7 IPS |
|
|
Image Classification (HP)
|
100% |
2178
405.0 IPS |
|
|
Image Classification (Q)
|
96% |
1560
291.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1386
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2212
35.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2584
41.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6550
7.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
13938
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12050
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1513
120.0 IPS |
|
|
Object Detection (HP)
|
97% |
2440
194.3 IPS |
|
|
Object Detection (Q)
|
94% |
1801
143.5 IPS |
|
|
Face Detection (SP)
|
100% |
3041
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
5561
66.1 IPS |
|
|
Face Detection (Q)
|
100% |
3214
38.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5809
44.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11062
85.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7656
59.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17188
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26364
33.9 IPS |
|
|
Style Transfer (Q)
|
96% |
22053
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3757
138.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4474
165.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3426
126.5 IPS |
|
|
Text Classification (SP)
|
100% |
2321
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3980
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3929
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2472
42.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3865
66.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4261
73.6 IPS |
