iPad13,18
Geekbench AI Score
2716
Single Precision Score
11324
Half Precision Score
11067
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ntpudpp |
| Upload Date | September 06 2024 12:53 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1187
220.7 IPS |
|
|
Image Classification (HP)
|
100% |
4267
793.6 IPS |
|
|
Image Classification (Q)
|
96% |
4620
862.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1031
16.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5530
89.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
5629
91.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5411
6.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
61234
71.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
59633
69.9 IPS |
|
|
Object Detection (SP)
|
100% |
1320
104.7 IPS |
|
|
Object Detection (HP)
|
99% |
5761
458.3 IPS |
|
|
Object Detection (Q)
|
91% |
5173
413.3 IPS |
|
|
Face Detection (SP)
|
100% |
2486
29.5 IPS |
|
|
Face Detection (HP)
|
100% |
13906
165.2 IPS |
|
|
Face Detection (Q)
|
100% |
11781
140.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4998
38.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
38256
294.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
36080
281.9 IPS |
|
|
Style Transfer (SP)
|
100% |
14089
18.1 IPS |
|
|
Style Transfer (HP)
|
100% |
97386
125.2 IPS |
|
|
Style Transfer (Q)
|
96% |
92876
119.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3042
112.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18492
682.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20246
747.6 IPS |
|
|
Text Classification (SP)
|
100% |
2111
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
2202
2.94 KIPS |
|
|
Text Classification (Q)
|
93% |
2152
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
2225
38.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1976
34.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1999
34.5 IPS |
