iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3228
Single Precision Score
15547
Half Precision Score
15337
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 18 2024 10:31 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 (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% |
1400
260.3 IPS |
|
|
Image Classification (HP)
|
100% |
6275
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5983
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1370
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9817
159.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10038
162.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6535
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
66455
77.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
65933
77.3 IPS |
|
|
Object Detection (SP)
|
100% |
1506
119.4 IPS |
|
|
Object Detection (HP)
|
99% |
7200
572.7 IPS |
|
|
Object Detection (Q)
|
91% |
6699
535.3 IPS |
|
|
Face Detection (SP)
|
100% |
3029
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
16393
194.8 IPS |
|
|
Face Detection (Q)
|
100% |
15311
181.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5826
44.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
47383
365.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
47555
371.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17187
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
120201
154.5 IPS |
|
|
Style Transfer (Q)
|
96% |
113507
146.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3749
138.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23193
856.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23715
875.7 IPS |
|
|
Text Classification (SP)
|
100% |
2289
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4014
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4063
5.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
2502
43.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3221
55.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3410
58.9 IPS |
