iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3216
Single Precision Score
15403
Half Precision Score
15078
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | December 04 2024 03:32 PM |
| Views | 4 |
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% |
1389
258.2 IPS |
|
|
Image Classification (HP)
|
100% |
6113
1.14 KIPS |
|
|
Image Classification (Q)
|
96% |
5712
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1385
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9760
158.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
9998
162.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6532
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
68871
80.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
65410
76.7 IPS |
|
|
Object Detection (SP)
|
100% |
1510
119.7 IPS |
|
|
Object Detection (HP)
|
99% |
7164
569.9 IPS |
|
|
Object Detection (Q)
|
91% |
6558
524.0 IPS |
|
|
Face Detection (SP)
|
100% |
3013
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
16306
193.7 IPS |
|
|
Face Detection (Q)
|
100% |
15054
178.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5826
44.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
47032
362.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
48503
379.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17081
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
119797
154.0 IPS |
|
|
Style Transfer (Q)
|
96% |
112503
145.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3735
137.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22729
839.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23707
875.4 IPS |
|
|
Text Classification (SP)
|
100% |
2238
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3832
5.11 KIPS |
|
|
Text Classification (Q)
|
93% |
3788
5.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
2496
43.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3193
55.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3362
58.1 IPS |
