iPad16,5
Geekbench AI Score
4834
Single Precision Score
36542
Half Precision Score
51651
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | stevetsuida |
| Upload Date | November 16 2024 06:35 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad16,5 |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2009
373.6 IPS |
|
|
Image Classification (HP)
|
100% |
17386
3.23 KIPS |
|
|
Image Classification (Q)
|
97% |
24184
4.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2166
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22037
357.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
30437
493.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10040
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123775
144.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
232933
273.0 IPS |
|
|
Object Detection (SP)
|
100% |
2222
176.2 IPS |
|
|
Object Detection (HP)
|
100% |
18319
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
25594
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4023
47.8 IPS |
|
|
Face Detection (HP)
|
100% |
43259
514.0 IPS |
|
|
Face Detection (Q)
|
100% |
62591
743.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8306
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
99472
766.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
169050
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25092
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
234175
301.0 IPS |
|
|
Style Transfer (Q)
|
96% |
298595
385.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5963
220.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48720
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86067
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3510
4.68 KIPS |
|
|
Text Classification (HP)
|
100% |
6056
8.08 KIPS |
|
|
Text Classification (Q)
|
93% |
6159
8.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
4092
70.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16440
283.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18389
317.8 IPS |
