iPad16,8
Geekbench AI Score
5174
Single Precision Score
38458
Half Precision Score
54708
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | vanboquestaels |
| Upload Date | April 02 2026 06:04 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| Model | iPad16,8 |
| Model ID | iPad16,8 |
| Motherboard | J707AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 4.10 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 5 Cores |
| Memory Information | |
|---|---|
| Size | 11.59 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2106
391.7 IPS |
|
|
Image Classification (HP)
|
100% |
16845
3.13 KIPS |
|
|
Image Classification (Q)
|
97% |
24477
4.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2194
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22299
361.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
31705
514.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8883
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
122505
142.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
231982
271.9 IPS |
|
|
Object Detection (SP)
|
100% |
2462
195.3 IPS |
|
|
Object Detection (HP)
|
100% |
17585
1.39 KIPS |
|
|
Object Detection (Q)
|
89% |
26106
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
4515
53.6 IPS |
|
|
Face Detection (HP)
|
100% |
44610
530.1 IPS |
|
|
Face Detection (Q)
|
100% |
70060
832.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8118
62.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
98578
759.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
167273
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
22862
29.4 IPS |
|
|
Style Transfer (HP)
|
100% |
232546
298.9 IPS |
|
|
Style Transfer (Q)
|
96% |
288604
372.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5330
196.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50664
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82525
3.05 KIPS |
|
|
Text Classification (SP)
|
99% |
6730
8.98 KIPS |
|
|
Text Classification (HP)
|
100% |
10241
13.7 KIPS |
|
|
Text Classification (Q)
|
93% |
10134
13.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
4530
78.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16484
283.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18067
312.2 IPS |
