iPad13,18
Geekbench AI Score
2662
Single Precision Score
12734
Half Precision Score
12560
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 19 2024 04:37 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad13,18 |
| Model ID | iPad13,18 |
| Motherboard | J271AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1190
221.4 IPS |
|
|
Image Classification (HP)
|
100% |
4776
888.2 IPS |
|
|
Image Classification (Q)
|
96% |
4897
914.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1048
17.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8246
133.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
8954
145.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5168
6.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
60662
70.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
60589
71.0 IPS |
|
|
Object Detection (SP)
|
100% |
1244
98.6 IPS |
|
|
Object Detection (HP)
|
99% |
6401
509.2 IPS |
|
|
Object Detection (Q)
|
91% |
4968
396.9 IPS |
|
|
Face Detection (SP)
|
100% |
2465
29.3 IPS |
|
|
Face Detection (HP)
|
100% |
14228
169.1 IPS |
|
|
Face Detection (Q)
|
100% |
12172
144.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4849
37.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
39332
303.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
37558
293.5 IPS |
|
|
Style Transfer (SP)
|
100% |
13461
17.3 IPS |
|
|
Style Transfer (HP)
|
100% |
94081
120.9 IPS |
|
|
Style Transfer (Q)
|
96% |
95869
123.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2925
108.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17416
643.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17999
664.6 IPS |
|
|
Text Classification (SP)
|
100% |
2095
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
2309
3.08 KIPS |
|
|
Text Classification (Q)
|
93% |
2296
3.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
2268
39.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3465
59.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4090
70.7 IPS |
