iPad16,4
Geekbench AI Score
4650
Single Precision Score
31566
Half Precision Score
40580
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | crisss1205 |
| Upload Date | August 15 2024 11:01 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad16,4 |
| Model ID | iPad16,4 |
| Motherboard | J718AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1966
365.5 IPS |
|
|
Image Classification (HP)
|
100% |
17306
3.22 KIPS |
|
|
Image Classification (Q)
|
99% |
20606
3.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2133
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
13991
226.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
14095
228.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9859
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
118692
138.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
224873
263.8 IPS |
|
|
Object Detection (SP)
|
100% |
2180
172.9 IPS |
|
|
Object Detection (HP)
|
100% |
17711
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
25771
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
3860
45.9 IPS |
|
|
Face Detection (HP)
|
100% |
26695
317.2 IPS |
|
|
Face Detection (Q)
|
100% |
44985
534.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8204
63.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
83011
639.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
93020
719.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24639
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
169380
217.7 IPS |
|
|
Style Transfer (Q)
|
100% |
169885
218.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5785
213.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50850
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
85127
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3044
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
6267
8.36 KIPS |
|
|
Text Classification (Q)
|
93% |
6514
8.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
3823
65.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16134
277.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18254
315.5 IPS |
