iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3236
Single Precision Score
15721
Half Precision Score
15383
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | tokris |
| Upload Date | February 15 2025 06:13 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,11 |
| Motherboard | J523xAP |
| 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 | 15.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1406
261.4 IPS |
|
|
Image Classification (HP)
|
100% |
6246
1.16 KIPS |
|
|
Image Classification (Q)
|
96% |
5782
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1380
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9721
157.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10028
162.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6519
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
68910
80.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
66051
77.4 IPS |
|
|
Object Detection (SP)
|
100% |
1516
120.2 IPS |
|
|
Object Detection (HP)
|
99% |
7221
574.4 IPS |
|
|
Object Detection (Q)
|
91% |
6637
530.3 IPS |
|
|
Face Detection (SP)
|
100% |
3052
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
16579
197.0 IPS |
|
|
Face Detection (Q)
|
100% |
15311
181.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5832
44.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
46771
360.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
47816
373.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17170
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
120184
154.5 IPS |
|
|
Style Transfer (Q)
|
96% |
114920
148.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3765
139.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22908
845.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23643
873.0 IPS |
|
|
Text Classification (SP)
|
100% |
2305
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3984
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
3980
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2480
42.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3589
61.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3689
63.8 IPS |
