iPad16,5
Geekbench AI Score
4628
Single Precision Score
23188
Half Precision Score
26266
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | matwyn |
| Upload Date | August 16 2024 10:51 AM |
| Views | 6 |
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 | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1912
355.6 IPS |
|
|
Image Classification (HP)
|
100% |
10821
2.01 KIPS |
|
|
Image Classification (Q)
|
99% |
12066
2.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2143
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7087
114.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
7097
115.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9903
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
111383
130.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
186963
219.3 IPS |
|
|
Object Detection (SP)
|
100% |
2176
172.6 IPS |
|
|
Object Detection (HP)
|
100% |
12206
968.2 IPS |
|
|
Object Detection (Q)
|
93% |
15308
1.22 KIPS |
|
|
Face Detection (SP)
|
100% |
3727
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
17912
212.8 IPS |
|
|
Face Detection (Q)
|
100% |
17634
209.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8306
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
63963
492.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
71093
549.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24845
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
153010
196.7 IPS |
|
|
Style Transfer (Q)
|
100% |
153428
197.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5783
213.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26161
966.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
39154
1.45 KIPS |
|
|
Text Classification (SP)
|
100% |
2962
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
6983
9.32 KIPS |
|
|
Text Classification (Q)
|
71% |
6048
8.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
3880
66.8 IPS |
|
|
Machine Translation (HP)
|
100% |
13461
231.9 IPS |
|
|
Machine Translation (Q)
|
98% |
14005
242.0 IPS |
