iPad16,1
Geekbench AI Score
4121
Single Precision Score
25109
Half Precision Score
35135
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 19 2024 05:55 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad16,1 |
| Model ID | iPad16,1 |
| Motherboard | J410AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.77 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1753
326.1 IPS |
|
|
Image Classification (HP)
|
100% |
11844
2.20 KIPS |
|
|
Image Classification (Q)
|
97% |
15690
2.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1682
27.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
15802
256.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
20858
338.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8272
9.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
107073
124.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
204927
240.2 IPS |
|
|
Object Detection (SP)
|
100% |
1864
147.9 IPS |
|
|
Object Detection (HP)
|
100% |
13854
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
19279
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
3468
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
34519
410.2 IPS |
|
|
Face Detection (Q)
|
100% |
51014
606.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7335
56.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
78674
606.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
128701
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
22050
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
206966
266.1 IPS |
|
|
Style Transfer (Q)
|
96% |
253642
327.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5215
192.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34301
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57923
2.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3185
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
3003
4.01 KIPS |
|
|
Text Classification (Q)
|
93% |
3148
4.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3341
57.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6197
106.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7303
126.2 IPS |
