iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3224
Single Precision Score
14383
Half Precision Score
13986
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 09:41 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1394
259.3 IPS |
|
|
Image Classification (HP)
|
100% |
6265
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5630
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1381
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6630
107.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
6776
109.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6536
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
66524
77.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
66308
77.7 IPS |
|
|
Object Detection (SP)
|
100% |
1517
120.3 IPS |
|
|
Object Detection (HP)
|
99% |
7268
578.2 IPS |
|
|
Object Detection (Q)
|
91% |
6688
534.4 IPS |
|
|
Face Detection (SP)
|
100% |
3034
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
16102
191.3 IPS |
|
|
Face Detection (Q)
|
100% |
15087
179.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5807
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
47146
363.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
47668
372.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17106
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
120183
154.5 IPS |
|
|
Style Transfer (Q)
|
96% |
111770
144.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3749
138.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23124
853.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23755
877.2 IPS |
|
|
Text Classification (SP)
|
100% |
2288
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3841
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3824
5.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
2466
42.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2329
40.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2319
40.1 IPS |
