iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3236
Single Precision Score
15465
Half Precision Score
15181
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 22 2024 08:45 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1395
259.4 IPS |
|
|
Image Classification (HP)
|
100% |
6181
1.15 KIPS |
|
|
Image Classification (Q)
|
96% |
5878
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1387
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9720
157.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10090
163.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6537
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
68645
80.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
66012
77.4 IPS |
|
|
Object Detection (SP)
|
100% |
1515
120.2 IPS |
|
|
Object Detection (HP)
|
99% |
7108
565.5 IPS |
|
|
Object Detection (Q)
|
91% |
6490
518.6 IPS |
|
|
Face Detection (SP)
|
100% |
3066
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
16493
196.0 IPS |
|
|
Face Detection (Q)
|
100% |
15122
179.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5793
44.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
46510
358.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
47035
367.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17129
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
120109
154.4 IPS |
|
|
Style Transfer (Q)
|
96% |
114910
148.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3764
139.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22775
841.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23331
861.5 IPS |
|
|
Text Classification (SP)
|
100% |
2304
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3954
5.28 KIPS |
|
|
Text Classification (Q)
|
93% |
3931
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2492
42.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3219
55.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3414
59.0 IPS |
