iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3231
Single Precision Score
15467
Half Precision Score
15211
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | tboneuk1691 |
| Upload Date | November 21 2024 02:25 PM |
| Views | 13 |
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% |
1387
258.0 IPS |
|
|
Image Classification (HP)
|
100% |
6189
1.15 KIPS |
|
|
Image Classification (Q)
|
96% |
5849
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1389
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9776
158.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10009
162.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6542
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
66557
77.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
65689
77.0 IPS |
|
|
Object Detection (SP)
|
100% |
1522
120.8 IPS |
|
|
Object Detection (HP)
|
99% |
7268
578.1 IPS |
|
|
Object Detection (Q)
|
91% |
6738
538.4 IPS |
|
|
Face Detection (SP)
|
100% |
3060
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
16495
196.0 IPS |
|
|
Face Detection (Q)
|
100% |
15252
181.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5800
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
47306
364.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
48002
375.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17172
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
120335
154.7 IPS |
|
|
Style Transfer (Q)
|
96% |
112067
144.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3760
138.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23024
850.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23848
880.6 IPS |
|
|
Text Classification (SP)
|
100% |
2273
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3823
5.10 KIPS |
|
|
Text Classification (Q)
|
93% |
3822
5.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
2483
42.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3241
55.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3423
59.2 IPS |
