iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3226
Single Precision Score
15493
Half Precision Score
15271
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 22 2024 02:21 AM |
| 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 | iPad13,6 |
| 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% |
1389
258.3 IPS |
|
|
Image Classification (HP)
|
100% |
6189
1.15 KIPS |
|
|
Image Classification (Q)
|
96% |
5884
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1376
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9736
157.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10108
163.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6537
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
66528
77.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
65670
77.0 IPS |
|
|
Object Detection (SP)
|
100% |
1513
120.0 IPS |
|
|
Object Detection (HP)
|
99% |
7194
572.3 IPS |
|
|
Object Detection (Q)
|
91% |
6709
536.1 IPS |
|
|
Face Detection (SP)
|
100% |
3044
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
16425
195.2 IPS |
|
|
Face Detection (Q)
|
100% |
15246
181.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5810
44.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
47255
364.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
47558
371.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17152
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
120068
154.3 IPS |
|
|
Style Transfer (Q)
|
96% |
113319
146.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3757
138.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23237
858.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23911
882.9 IPS |
|
|
Text Classification (SP)
|
100% |
2283
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3948
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
3944
5.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
2484
42.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3233
55.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3398
58.7 IPS |
