iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3234
Single Precision Score
15431
Half Precision Score
15170
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 10:51 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 | iPad13,4 |
| 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% |
1396
259.6 IPS |
|
|
Image Classification (HP)
|
100% |
6172
1.15 KIPS |
|
|
Image Classification (Q)
|
96% |
5797
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1402
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9731
157.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10038
162.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6531
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
66290
77.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
65572
76.9 IPS |
|
|
Object Detection (SP)
|
100% |
1514
120.1 IPS |
|
|
Object Detection (HP)
|
99% |
7221
574.4 IPS |
|
|
Object Detection (Q)
|
91% |
6677
533.5 IPS |
|
|
Face Detection (SP)
|
100% |
3033
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
16441
195.4 IPS |
|
|
Face Detection (Q)
|
100% |
15358
182.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5816
44.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
47264
364.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
47529
371.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17127
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
120023
154.3 IPS |
|
|
Style Transfer (Q)
|
96% |
111887
144.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3748
138.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22933
846.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23642
873.0 IPS |
|
|
Text Classification (SP)
|
100% |
2299
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3867
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3892
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2484
42.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3220
55.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3372
58.3 IPS |
