iPad16,1
Geekbench AI Score
3966
Single Precision Score
27264
Half Precision Score
36998
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 15 2025 05:49 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| Model | iPad16,1 |
| Model ID | iPad16,1 |
| Motherboard | J410AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1714
318.7 IPS |
|
|
Image Classification (HP)
|
100% |
10571
1.97 KIPS |
|
|
Image Classification (Q)
|
97% |
15381
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1645
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16510
267.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
21590
350.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7623
8.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
107345
125.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
203837
238.9 IPS |
|
|
Object Detection (SP)
|
100% |
1788
141.9 IPS |
|
|
Object Detection (HP)
|
100% |
13908
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
17905
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
3350
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
36383
432.3 IPS |
|
|
Face Detection (Q)
|
100% |
48342
574.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6892
53.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
78026
601.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
122161
955.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21257
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
210953
271.2 IPS |
|
|
Style Transfer (Q)
|
96% |
251764
324.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4860
179.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34678
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54903
2.03 KIPS |
|
|
Text Classification (SP)
|
100% |
3003
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5179
6.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5197
6.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3499
60.3 IPS |
|
|
Machine Translation (HP)
|
100% |
8099
139.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9349
161.6 IPS |
