iPad17,4
Geekbench AI Score
5320
Single Precision Score
41508
Half Precision Score
57518
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | Cho_Seung_Woo |
| Upload Date | February 05 2026 06:09 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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 | 11.17 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2281
424.2 IPS |
|
|
Image Classification (HP)
|
100% |
17964
3.34 KIPS |
|
|
Image Classification (Q)
|
97% |
23489
4.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2315
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
23949
388.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
33349
540.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11024
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
178009
207.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
332796
390.1 IPS |
|
|
Object Detection (SP)
|
100% |
2664
211.3 IPS |
|
|
Object Detection (HP)
|
100% |
17782
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
26365
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4754
56.5 IPS |
|
|
Face Detection (HP)
|
100% |
47005
558.5 IPS |
|
|
Face Detection (Q)
|
100% |
66917
795.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9129
70.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
111289
857.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
184499
1.44 KIPS |
|
|
Style Transfer (SP)
|
100% |
27603
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
271399
348.9 IPS |
|
|
Style Transfer (Q)
|
96% |
373475
482.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6006
221.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
62948
2.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
100762
3.72 KIPS |
|
|
Text Classification (SP)
|
100% |
3188
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
6946
9.27 KIPS |
|
|
Text Classification (Q)
|
93% |
6788
9.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
5111
88.0 IPS |
|
|
Machine Translation (HP)
|
100% |
17960
309.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18285
316.0 IPS |
