iPad17,4
Geekbench AI Score
5369
Single Precision Score
41564
Half Precision Score
57479
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | tintinesk5 |
| Upload Date | January 18 2026 05:53 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPad17,4 |
| Model ID | iPad17,4 |
| Motherboard | J821AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.39 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2296
427.0 IPS |
|
|
Image Classification (HP)
|
100% |
18166
3.38 KIPS |
|
|
Image Classification (Q)
|
97% |
24057
4.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2319
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
24537
397.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
33867
549.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11366
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
178077
207.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
332918
390.2 IPS |
|
|
Object Detection (SP)
|
100% |
2672
211.9 IPS |
|
|
Object Detection (HP)
|
100% |
18561
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
26453
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4828
57.4 IPS |
|
|
Face Detection (HP)
|
100% |
47123
559.9 IPS |
|
|
Face Detection (Q)
|
100% |
66618
791.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9111
70.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
110718
853.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
174429
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
27209
35.0 IPS |
|
|
Style Transfer (HP)
|
100% |
272909
350.8 IPS |
|
|
Style Transfer (Q)
|
96% |
373746
482.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6045
223.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63293
2.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
100017
3.69 KIPS |
|
|
Text Classification (SP)
|
100% |
3209
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
6520
8.70 KIPS |
|
|
Text Classification (Q)
|
93% |
6860
9.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
5307
91.4 IPS |
|
|
Machine Translation (HP)
|
100% |
17777
306.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18413
318.2 IPS |
