iPad14,4
Geekbench AI Score
3464
Single Precision Score
26379
Half Precision Score
29038
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 21 2025 05:29 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.7.2 |
| Model | iPad14,4 |
| Model ID | iPad14,4 |
| Motherboard | J618AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1402
260.7 IPS |
|
|
Image Classification (HP)
|
100% |
14292
2.66 KIPS |
|
|
Image Classification (Q)
|
96% |
14940
2.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1487
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19641
318.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24076
390.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6861
8.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
105336
122.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
104985
123.0 IPS |
|
|
Object Detection (SP)
|
100% |
1548
122.8 IPS |
|
|
Object Detection (HP)
|
99% |
15109
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
17115
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
3140
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
32852
390.4 IPS |
|
|
Face Detection (Q)
|
100% |
41502
493.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5605
43.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
85880
661.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
104499
816.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18685
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
201717
259.3 IPS |
|
|
Style Transfer (Q)
|
96% |
192696
248.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3961
146.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38682
1.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46689
1.72 KIPS |
|
|
Text Classification (SP)
|
100% |
2306
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3812
5.09 KIPS |
|
|
Text Classification (Q)
|
93% |
3795
5.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3741
64.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4352
75.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4454
77.0 IPS |
