iPad14,8
Geekbench AI Score
2349
Single Precision Score
12125
Half Precision Score
12881
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | mexa |
| Upload Date | August 27 2024 12:07 PM |
| Views | 11 |
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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1265
235.2 IPS |
|
|
Image Classification (HP)
|
100% |
7124
1.32 KIPS |
|
|
Image Classification (Q)
|
99% |
7684
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
742
12.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5123
83.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
5131
83.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5980
6.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
87257
101.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
86550
101.5 IPS |
|
|
Object Detection (SP)
|
100% |
1351
107.2 IPS |
|
|
Object Detection (HP)
|
99% |
8319
661.8 IPS |
|
|
Object Detection (Q)
|
93% |
8703
694.4 IPS |
|
|
Face Detection (SP)
|
100% |
2479
29.5 IPS |
|
|
Face Detection (HP)
|
100% |
11352
134.9 IPS |
|
|
Face Detection (Q)
|
100% |
13191
156.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4101
31.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
46333
357.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
50631
391.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11029
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
138136
177.6 IPS |
|
|
Style Transfer (Q)
|
100% |
138376
177.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3165
116.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19018
702.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
24695
914.9 IPS |
|
|
Text Classification (SP)
|
100% |
1190
1.59 KIPS |
|
|
Text Classification (HP)
|
100% |
796
1.06 KIPS |
|
|
Text Classification (Q)
|
93% |
792
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1599
27.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2358
40.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2343
40.5 IPS |
