iPad16,1
Geekbench AI Score
4124
Single Precision Score
24966
Half Precision Score
35070
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | klflv |
| Upload Date | November 20 2024 01:56 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| Model | iPad16,1 |
| Model ID | iPad16,1 |
| Motherboard | J410AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.76 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1757
326.7 IPS |
|
|
Image Classification (HP)
|
100% |
10788
2.01 KIPS |
|
|
Image Classification (Q)
|
97% |
15089
2.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1671
27.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
15781
255.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
21126
342.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8272
9.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
107443
125.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
204813
240.1 IPS |
|
|
Object Detection (SP)
|
100% |
1858
147.4 IPS |
|
|
Object Detection (HP)
|
100% |
13640
1.08 KIPS |
|
|
Object Detection (Q)
|
91% |
19278
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
3443
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
34717
412.5 IPS |
|
|
Face Detection (Q)
|
100% |
50397
598.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7367
56.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
78896
607.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
128222
1.00 KIPS |
|
|
Style Transfer (SP)
|
100% |
22002
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
207591
266.9 IPS |
|
|
Style Transfer (Q)
|
96% |
255921
330.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5241
193.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34571
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58317
2.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3236
4.32 KIPS |
|
|
Text Classification (HP)
|
100% |
3031
4.05 KIPS |
|
|
Text Classification (Q)
|
93% |
3129
4.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3335
57.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6329
109.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7411
128.1 IPS |
