iPad14,8
Geekbench AI Score
2346
Single Precision Score
12134
Half Precision Score
13545
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 16 2024 01:23 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPad14,8 |
| Model ID | iPad14,8 |
| Motherboard | J507AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1248
232.2 IPS |
|
|
Image Classification (HP)
|
100% |
7164
1.33 KIPS |
|
|
Image Classification (Q)
|
96% |
7415
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
748
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5043
81.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
8069
130.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5977
6.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
87098
101.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
88948
104.3 IPS |
|
|
Object Detection (SP)
|
100% |
1349
107.0 IPS |
|
|
Object Detection (HP)
|
99% |
8316
661.5 IPS |
|
|
Object Detection (Q)
|
93% |
8791
701.4 IPS |
|
|
Face Detection (SP)
|
100% |
2449
29.1 IPS |
|
|
Face Detection (HP)
|
100% |
11365
135.0 IPS |
|
|
Face Detection (Q)
|
100% |
13134
156.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4124
31.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
47508
366.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
57432
448.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11066
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
138731
178.3 IPS |
|
|
Style Transfer (Q)
|
95% |
128208
165.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3178
117.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19073
704.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24475
903.8 IPS |
|
|
Text Classification (SP)
|
100% |
1186
1.58 KIPS |
|
|
Text Classification (HP)
|
100% |
799
1.07 KIPS |
|
|
Text Classification (Q)
|
93% |
793
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1595
27.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2318
39.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2368
40.9 IPS |
