iPad16,2
Geekbench AI Score
4393
Single Precision Score
4710
Half Precision Score
4434
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 22 2025 09:38 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| Model | iPad16,2 |
| Model ID | iPad16,2 |
| Motherboard | J411AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 1.58 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1569
291.8 IPS |
|
|
Image Classification (HP)
|
100% |
990
184.1 IPS |
|
|
Image Classification (Q)
|
97% |
1234
230.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3118
50.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3443
55.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3534
57.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12380
14.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
12822
15.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
12215
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1738
137.8 IPS |
|
|
Object Detection (HP)
|
100% |
1834
145.5 IPS |
|
|
Object Detection (Q)
|
91% |
1576
126.0 IPS |
|
|
Face Detection (SP)
|
100% |
4723
56.1 IPS |
|
|
Face Detection (HP)
|
100% |
7448
88.5 IPS |
|
|
Face Detection (Q)
|
100% |
5201
61.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10204
78.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
10734
82.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
9398
73.5 IPS |
|
|
Style Transfer (SP)
|
100% |
26433
34.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29450
37.9 IPS |
|
|
Style Transfer (Q)
|
96% |
27745
35.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5338
197.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4292
158.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3452
127.5 IPS |
|
|
Text Classification (SP)
|
100% |
3198
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5529
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5509
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1172
20.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1201
20.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1359
23.5 IPS |
