iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3230
Single Precision Score
16292
Half Precision Score
15980
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 02 2025 05:09 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,4 |
| Motherboard | J517AP |
| 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% |
1406
261.5 IPS |
|
|
Image Classification (HP)
|
100% |
6277
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5881
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1383
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9789
158.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10024
162.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6520
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
66499
77.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
65650
76.9 IPS |
|
|
Object Detection (SP)
|
100% |
1507
119.5 IPS |
|
|
Object Detection (HP)
|
99% |
7216
574.0 IPS |
|
|
Object Detection (Q)
|
91% |
6720
536.9 IPS |
|
|
Face Detection (SP)
|
100% |
3040
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
16438
195.3 IPS |
|
|
Face Detection (Q)
|
100% |
15356
182.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5842
45.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
47325
364.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
47822
373.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17158
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
121005
155.6 IPS |
|
|
Style Transfer (Q)
|
96% |
111618
144.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3750
138.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23066
851.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23819
879.5 IPS |
|
|
Text Classification (SP)
|
100% |
2293
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3890
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
3805
5.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2475
42.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5292
91.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5621
97.1 IPS |
