iPad13,17
Geekbench AI Score
3222
Single Precision Score
16028
Half Precision Score
15671
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ioscarhunter |
| Upload Date | October 28 2024 03:50 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad13,17 |
| Model ID | iPad13,17 |
| Motherboard | J408AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1384
257.4 IPS |
|
|
Image Classification (HP)
|
100% |
6055
1.13 KIPS |
|
|
Image Classification (Q)
|
96% |
5724
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1384
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9736
157.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10071
163.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6540
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
66718
77.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
65386
76.6 IPS |
|
|
Object Detection (SP)
|
100% |
1508
119.7 IPS |
|
|
Object Detection (HP)
|
99% |
6982
555.4 IPS |
|
|
Object Detection (Q)
|
91% |
6445
515.0 IPS |
|
|
Face Detection (SP)
|
100% |
3061
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
16355
194.3 IPS |
|
|
Face Detection (Q)
|
100% |
15190
180.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5804
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
46463
358.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
46626
364.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17151
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
119695
153.9 IPS |
|
|
Style Transfer (Q)
|
96% |
111138
143.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3768
139.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22404
827.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22897
845.5 IPS |
|
|
Text Classification (SP)
|
100% |
2246
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3731
4.98 KIPS |
|
|
Text Classification (Q)
|
93% |
3722
5.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
2480
42.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5361
92.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5484
94.8 IPS |
