iPad16,1
Geekbench AI Score
4001
Single Precision Score
24871
Half Precision Score
34837
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | JohnnySun |
| Upload Date | January 26 2025 02:20 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
1734
322.5 IPS |
|
|
Image Classification (HP)
|
100% |
11500
2.14 KIPS |
|
|
Image Classification (Q)
|
97% |
15252
2.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1717
27.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
15763
255.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
20887
338.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7737
9.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
104376
121.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
203861
238.9 IPS |
|
|
Object Detection (SP)
|
100% |
1817
144.2 IPS |
|
|
Object Detection (HP)
|
100% |
13539
1.07 KIPS |
|
|
Object Detection (Q)
|
91% |
19088
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
3348
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
34198
406.3 IPS |
|
|
Face Detection (Q)
|
100% |
51220
608.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6923
53.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
79236
610.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
126632
990.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20877
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
205011
263.5 IPS |
|
|
Style Transfer (Q)
|
96% |
252462
325.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4915
181.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33727
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55090
2.03 KIPS |
|
|
Text Classification (SP)
|
100% |
3182
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
3034
4.05 KIPS |
|
|
Text Classification (Q)
|
93% |
3196
4.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3321
57.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6220
107.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7368
127.3 IPS |
