iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3232
Single Precision Score
15572
Half Precision Score
15279
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 25 2024 09:53 AM |
| 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 (11-inch 3rd generation) |
| Model ID | iPad13,6 |
| Motherboard | J518AP |
| 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 | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1407
261.6 IPS |
|
|
Image Classification (HP)
|
100% |
6405
1.19 KIPS |
|
|
Image Classification (Q)
|
96% |
5913
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1383
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9820
159.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10093
163.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6544
7.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
67817
79.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
65639
76.9 IPS |
|
|
Object Detection (SP)
|
100% |
1511
119.8 IPS |
|
|
Object Detection (HP)
|
99% |
7214
573.9 IPS |
|
|
Object Detection (Q)
|
91% |
6681
533.9 IPS |
|
|
Face Detection (SP)
|
100% |
3056
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
16398
194.8 IPS |
|
|
Face Detection (Q)
|
100% |
15238
181.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5782
44.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
47215
363.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
48307
377.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17128
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
120171
154.5 IPS |
|
|
Style Transfer (Q)
|
96% |
112293
144.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3758
138.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23169
855.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23702
875.2 IPS |
|
|
Text Classification (SP)
|
100% |
2294
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3933
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3978
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2483
42.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3214
55.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3401
58.8 IPS |
