iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
2855
Single Precision Score
4302
Half Precision Score
3577
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | vacantsouls |
| Upload Date | August 17 2024 02:27 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,10 |
| Motherboard | J523AP |
| 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 | 7.31 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1312
244.1 IPS |
|
|
Image Classification (HP)
|
100% |
1707
317.4 IPS |
|
|
Image Classification (Q)
|
99% |
1705
318.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1172
19.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1172
19.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
1170
19.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5863
6.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
13503
15.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
11527
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1402
111.2 IPS |
|
|
Object Detection (HP)
|
97% |
1975
157.3 IPS |
|
|
Object Detection (Q)
|
94% |
1532
122.1 IPS |
|
|
Face Detection (SP)
|
100% |
2437
29.0 IPS |
|
|
Face Detection (HP)
|
100% |
4121
49.0 IPS |
|
|
Face Detection (Q)
|
100% |
2669
31.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5235
40.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8212
63.5 IPS |
|
|
Depth Estimation (Q)
|
96% |
4093
31.7 IPS |
|
|
Style Transfer (SP)
|
100% |
15998
20.6 IPS |
|
|
Style Transfer (HP)
|
100% |
24942
32.1 IPS |
|
|
Style Transfer (Q)
|
100% |
24920
32.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3390
125.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4446
164.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3375
125.0 IPS |
|
|
Text Classification (SP)
|
100% |
2288
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3554
4.74 KIPS |
|
|
Text Classification (Q)
|
93% |
3497
4.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
1804
31.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3054
52.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3038
52.5 IPS |
