iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3238
Single Precision Score
15720
Half Precision Score
15390
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 02 2025 02:51 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1400
260.3 IPS |
|
|
Image Classification (HP)
|
100% |
6260
1.16 KIPS |
|
|
Image Classification (Q)
|
96% |
5847
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1378
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9750
158.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10072
163.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6545
7.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
67649
78.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
66044
77.4 IPS |
|
|
Object Detection (SP)
|
100% |
1523
120.8 IPS |
|
|
Object Detection (HP)
|
99% |
7282
579.2 IPS |
|
|
Object Detection (Q)
|
91% |
6712
536.3 IPS |
|
|
Face Detection (SP)
|
100% |
3056
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
16570
196.9 IPS |
|
|
Face Detection (Q)
|
100% |
15410
183.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5822
44.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
47248
364.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
47288
369.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17181
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
120433
154.8 IPS |
|
|
Style Transfer (Q)
|
96% |
112831
145.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3765
139.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23260
858.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23914
883.0 IPS |
|
|
Text Classification (SP)
|
100% |
2299
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3833
5.12 KIPS |
|
|
Text Classification (Q)
|
93% |
3868
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2494
43.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3647
62.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3755
64.9 IPS |
