iPad14,11
Geekbench AI Score
2334
Single Precision Score
12151
Half Precision Score
13487
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | macprime |
| Upload Date | October 28 2024 06:10 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPad14,11 |
| Model ID | iPad14,11 |
| Motherboard | J538AP |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1227
228.2 IPS |
|
|
Image Classification (HP)
|
100% |
7232
1.34 KIPS |
|
|
Image Classification (Q)
|
96% |
7274
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
744
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5032
81.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
8208
133.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5965
6.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
87866
102.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
88404
103.6 IPS |
|
|
Object Detection (SP)
|
100% |
1347
106.9 IPS |
|
|
Object Detection (HP)
|
99% |
8244
655.8 IPS |
|
|
Object Detection (Q)
|
93% |
8717
695.6 IPS |
|
|
Face Detection (SP)
|
100% |
2456
29.2 IPS |
|
|
Face Detection (HP)
|
100% |
11288
134.1 IPS |
|
|
Face Detection (Q)
|
100% |
13408
159.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4108
31.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
49674
382.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
56631
442.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10970
14.1 IPS |
|
|
Style Transfer (HP)
|
100% |
138028
177.4 IPS |
|
|
Style Transfer (Q)
|
95% |
125575
162.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3131
115.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19122
706.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24332
898.5 IPS |
|
|
Text Classification (SP)
|
100% |
1188
1.59 KIPS |
|
|
Text Classification (HP)
|
100% |
796
1.06 KIPS |
|
|
Text Classification (Q)
|
93% |
793
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1595
27.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2260
38.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2353
40.7 IPS |
