iPad14,8
Geekbench AI Score
3231
Single Precision Score
4758
Half Precision Score
3952
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | davelive |
| Upload Date | August 29 2024 06:08 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.45 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1520
282.7 IPS |
|
|
Image Classification (HP)
|
100% |
1924
357.8 IPS |
|
|
Image Classification (Q)
|
99% |
1934
360.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1316
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1298
21.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
1294
21.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6120
7.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
14511
16.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
12338
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1584
125.7 IPS |
|
|
Object Detection (HP)
|
97% |
2274
181.1 IPS |
|
|
Object Detection (Q)
|
94% |
1737
138.5 IPS |
|
|
Face Detection (SP)
|
100% |
2884
34.3 IPS |
|
|
Face Detection (HP)
|
100% |
4484
53.3 IPS |
|
|
Face Detection (Q)
|
100% |
2885
34.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5402
41.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
8627
66.7 IPS |
|
|
Depth Estimation (Q)
|
96% |
4404
34.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17421
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
27239
35.0 IPS |
|
|
Style Transfer (Q)
|
100% |
27069
34.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3647
134.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4751
175.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3550
131.5 IPS |
|
|
Text Classification (SP)
|
100% |
2223
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3169
4.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3122
4.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2911
50.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4554
78.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4557
78.8 IPS |
