iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3237
Single Precision Score
16302
Half Precision Score
15933
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Swissnightlover |
| Upload Date | October 30 2024 07:17 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 7.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1402
260.7 IPS |
|
|
Image Classification (HP)
|
100% |
6194
1.15 KIPS |
|
|
Image Classification (Q)
|
96% |
5897
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1393
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9719
157.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9996
162.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6522
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
69138
80.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
66115
77.5 IPS |
|
|
Object Detection (SP)
|
100% |
1509
119.7 IPS |
|
|
Object Detection (HP)
|
99% |
7135
567.6 IPS |
|
|
Object Detection (Q)
|
91% |
6428
513.6 IPS |
|
|
Face Detection (SP)
|
100% |
3047
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
16516
196.2 IPS |
|
|
Face Detection (Q)
|
100% |
15235
181.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5820
44.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
47018
362.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
46626
364.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17206
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
119955
154.2 IPS |
|
|
Style Transfer (Q)
|
96% |
114330
147.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3760
138.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22547
832.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23049
851.1 IPS |
|
|
Text Classification (SP)
|
100% |
2295
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3957
5.28 KIPS |
|
|
Text Classification (Q)
|
93% |
3940
5.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
2496
43.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5373
92.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5707
98.6 IPS |
