iPad (8th generation)
Geekbench AI Score
565
Single Precision Score
671
Half Precision Score
253
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 06:06 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad (8th generation) |
| Model ID | iPad11,6 |
| Motherboard | J171aAP |
| CPU Information | |
|---|---|
| Name | Apple A12 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 2.88 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
233
43.4 IPS |
|
|
Image Classification (HP)
|
100% |
275
51.2 IPS |
|
|
Image Classification (Q)
|
96% |
137
25.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
210
3.40 IPS |
|
|
Image Segmentation (HP)
|
100% |
245
3.98 IPS |
|
|
Image Segmentation (Q)
|
99% |
180
2.91 IPS |
|
|
Pose Estimation (SP)
|
100% |
1518
1.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
2120
2.47 IPS |
|
|
Pose Estimation (Q)
|
96% |
674
0.79 IPS |
|
|
Object Detection (SP)
|
100% |
516
41.0 IPS |
|
|
Object Detection (HP)
|
100% |
539
42.7 IPS |
|
|
Object Detection (Q)
|
92% |
157
12.5 IPS |
|
|
Face Detection (SP)
|
100% |
1895
22.5 IPS |
|
|
Face Detection (HP)
|
100% |
2238
26.6 IPS |
|
|
Face Detection (Q)
|
100% |
262
3.11 IPS |
|
|
Depth Estimation (SP)
|
100% |
1571
12.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2229
17.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
419
3.27 IPS |
|
|
Style Transfer (SP)
|
100% |
3973
5.11 IPS |
|
|
Style Transfer (HP)
|
100% |
5419
6.97 IPS |
|
|
Style Transfer (Q)
|
96% |
1490
1.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
785
29.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1039
38.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
293
10.8 IPS |
|
|
Text Classification (SP)
|
100% |
38
51.2 IPS |
|
|
Text Classification (HP)
|
100% |
48
64.6 IPS |
|
|
Text Classification (Q)
|
93% |
49
65.3 IPS |
|
|
Machine Translation (SP)
|
100% |
247
4.26 IPS |
|
|
Machine Translation (HP)
|
100% |
179
3.09 IPS |
|
|
Machine Translation (Q)
|
98% |
178
3.08 IPS |
