iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3227
Single Precision Score
5314
Half Precision Score
4376
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | December 09 2024 03:43 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1388
258.1 IPS |
|
|
Image Classification (HP)
|
100% |
2171
403.6 IPS |
|
|
Image Classification (Q)
|
96% |
1547
288.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1377
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2200
35.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2568
41.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6549
7.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
13825
16.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
11978
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1513
120.0 IPS |
|
|
Object Detection (HP)
|
97% |
2434
193.8 IPS |
|
|
Object Detection (Q)
|
94% |
1786
142.3 IPS |
|
|
Face Detection (SP)
|
100% |
3037
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
5561
66.1 IPS |
|
|
Face Detection (Q)
|
100% |
3202
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5815
44.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11036
85.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7645
59.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17184
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26294
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22021
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3749
138.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4391
162.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3378
124.7 IPS |
|
|
Text Classification (SP)
|
100% |
2285
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3928
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3911
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
2490
42.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4021
69.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4259
73.6 IPS |
