iPad14,4
Geekbench AI Score
3210
Single Precision Score
4836
Half Precision Score
3995
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | RG22032 |
| Upload Date | August 15 2024 05:17 PM |
| Views | 21 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPad14,4 |
| Model ID | iPad14,4 |
| Motherboard | J618AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1518
282.4 IPS |
|
|
Image Classification (HP)
|
100% |
1940
360.7 IPS |
|
|
Image Classification (Q)
|
99% |
1935
361.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1325
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1306
21.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
1303
21.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6132
7.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
14416
16.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
12286
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1601
127.0 IPS |
|
|
Object Detection (HP)
|
97% |
2278
181.4 IPS |
|
|
Object Detection (Q)
|
94% |
1735
138.3 IPS |
|
|
Face Detection (SP)
|
100% |
2895
34.4 IPS |
|
|
Face Detection (HP)
|
100% |
4479
53.2 IPS |
|
|
Face Detection (Q)
|
100% |
2880
34.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5384
41.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
8616
66.6 IPS |
|
|
Depth Estimation (Q)
|
96% |
4407
34.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17321
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
27033
34.8 IPS |
|
|
Style Transfer (Q)
|
100% |
26994
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3629
134.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4979
183.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3529
130.8 IPS |
|
|
Text Classification (SP)
|
100% |
2195
2.93 KIPS |
|
|
Text Classification (HP)
|
100% |
3588
4.79 KIPS |
|
|
Text Classification (Q)
|
93% |
3536
4.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
2743
47.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4515
78.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4513
78.0 IPS |
