iPad13,18
Geekbench AI Score
2716
Single Precision Score
10723
Half Precision Score
11223
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Crow-fusion |
| Upload Date | August 16 2024 05:16 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad13,18 |
| Model ID | iPad13,18 |
| Motherboard | J271AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1194
222.1 IPS |
|
|
Image Classification (HP)
|
100% |
4503
837.4 IPS |
|
|
Image Classification (Q)
|
99% |
5367
1.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1050
17.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5196
84.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
5192
84.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5383
6.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
57134
66.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
59031
69.2 IPS |
|
|
Object Detection (SP)
|
100% |
1315
104.3 IPS |
|
|
Object Detection (HP)
|
99% |
5270
419.2 IPS |
|
|
Object Detection (Q)
|
91% |
5101
407.6 IPS |
|
|
Face Detection (SP)
|
100% |
2493
29.6 IPS |
|
|
Face Detection (HP)
|
100% |
11355
134.9 IPS |
|
|
Face Detection (Q)
|
100% |
11181
132.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4994
38.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
33870
260.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
39360
304.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13922
17.9 IPS |
|
|
Style Transfer (HP)
|
100% |
91577
117.7 IPS |
|
|
Style Transfer (Q)
|
100% |
109530
140.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3005
110.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17750
655.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
17980
666.1 IPS |
|
|
Text Classification (SP)
|
100% |
2101
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
2247
3.00 KIPS |
|
|
Text Classification (Q)
|
93% |
2218
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
2250
38.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2031
35.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1967
34.0 IPS |
