iPad14,8
Geekbench AI Score
3443
Single Precision Score
20895
Half Precision Score
22575
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | pakitt |
| Upload Date | August 16 2024 01:10 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1381
256.8 IPS |
|
|
Image Classification (HP)
|
100% |
14486
2.69 KIPS |
|
|
Image Classification (Q)
|
99% |
13935
2.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1528
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9030
146.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
9022
146.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6894
8.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
100026
116.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
100342
117.7 IPS |
|
|
Object Detection (SP)
|
100% |
1556
123.4 IPS |
|
|
Object Detection (HP)
|
99% |
14511
1.15 KIPS |
|
|
Object Detection (Q)
|
91% |
16825
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
3116
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
22026
261.7 IPS |
|
|
Face Detection (Q)
|
100% |
33943
403.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5711
44.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
73407
565.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
81415
629.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18849
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
155357
199.7 IPS |
|
|
Style Transfer (Q)
|
100% |
155614
200.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4049
149.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38526
1.42 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
44106
1.63 KIPS |
|
|
Text Classification (SP)
|
100% |
2156
2.88 KIPS |
|
|
Text Classification (HP)
|
100% |
3648
4.87 KIPS |
|
|
Text Classification (Q)
|
93% |
3621
4.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3537
60.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2367
40.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2359
40.8 IPS |
