iPad17,4
Geekbench AI Score
5347
Single Precision Score
41217
Half Precision Score
57078
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | tintinesk5 |
| Upload Date | February 04 2026 12:16 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| Model | iPad17,4 |
| Model ID | iPad17,4 |
| Motherboard | J821AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.42 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2292
426.2 IPS |
|
|
Image Classification (HP)
|
100% |
17942
3.34 KIPS |
|
|
Image Classification (Q)
|
97% |
23642
4.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2315
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
24120
391.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
33055
535.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11343
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
177920
207.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
333069
390.4 IPS |
|
|
Object Detection (SP)
|
100% |
2667
211.6 IPS |
|
|
Object Detection (HP)
|
100% |
18079
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
26403
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4803
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
47018
558.7 IPS |
|
|
Face Detection (Q)
|
100% |
66547
790.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9099
70.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
110837
853.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
174408
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
27248
35.0 IPS |
|
|
Style Transfer (HP)
|
100% |
273076
351.0 IPS |
|
|
Style Transfer (Q)
|
96% |
373047
481.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6021
222.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63011
2.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
99651
3.68 KIPS |
|
|
Text Classification (SP)
|
100% |
3211
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
6444
8.60 KIPS |
|
|
Text Classification (Q)
|
93% |
6776
9.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
5171
89.1 IPS |
|
|
Machine Translation (HP)
|
100% |
17592
303.0 IPS |
|
|
Machine Translation (Q)
|
98% |
18269
315.7 IPS |
