iPad17,4
Geekbench AI Score
5341
Single Precision Score
41321
Half Precision Score
56781
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | tintinesk5 |
| Upload Date | January 06 2026 08:09 PM |
| Views | 5 |
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 | 4.43 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2310
429.6 IPS |
|
|
Image Classification (HP)
|
100% |
18193
3.38 KIPS |
|
|
Image Classification (Q)
|
97% |
23596
4.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2314
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
24468
396.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
33404
541.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11051
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
178060
207.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
328309
384.8 IPS |
|
|
Object Detection (SP)
|
100% |
2665
211.4 IPS |
|
|
Object Detection (HP)
|
100% |
17773
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
26284
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4806
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
46968
558.1 IPS |
|
|
Face Detection (Q)
|
100% |
66053
784.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9153
70.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
110234
849.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
174791
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
27545
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
273413
351.5 IPS |
|
|
Style Transfer (Q)
|
96% |
372488
480.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6021
222.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
62712
2.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
96141
3.55 KIPS |
|
|
Text Classification (SP)
|
100% |
3208
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
6546
8.74 KIPS |
|
|
Text Classification (Q)
|
93% |
6765
9.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
5132
88.4 IPS |
|
|
Machine Translation (HP)
|
100% |
17727
305.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18313
316.5 IPS |
