iPad14,8
Geekbench AI Score
3131
Single Precision Score
4718
Half Precision Score
3926
Quantized Score
Geekbench AI 1.0.0 Corporate for iOS AArch64
Result Information
| Upload Date | August 11 2024 10:49 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPad14,8 |
| Model ID | iPad14,8 |
| Motherboard | J507AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1420
264.1 IPS |
|
|
Image Classification (HP)
|
100% |
1927
358.3 IPS |
|
|
Image Classification (Q)
|
99% |
1922
358.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1262
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1297
21.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
1287
20.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6020
7.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
14450
16.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
12381
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1541
122.3 IPS |
|
|
Object Detection (HP)
|
97% |
2259
179.8 IPS |
|
|
Object Detection (Q)
|
94% |
1732
138.1 IPS |
|
|
Face Detection (SP)
|
100% |
2785
33.1 IPS |
|
|
Face Detection (HP)
|
100% |
4339
51.6 IPS |
|
|
Face Detection (Q)
|
100% |
2836
33.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5072
39.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
8477
65.5 IPS |
|
|
Depth Estimation (Q)
|
96% |
4301
33.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16889
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26917
34.6 IPS |
|
|
Style Transfer (Q)
|
100% |
26846
34.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3449
127.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4850
179.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3547
131.4 IPS |
|
|
Text Classification (SP)
|
100% |
2223
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3113
4.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3125
4.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2978
51.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4483
77.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4520
78.1 IPS |
