iPad17,4
Geekbench AI Score
5279
Single Precision Score
41248
Half Precision Score
57260
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Jeffnt326 |
| Upload Date | November 15 2025 07:18 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad17,4 |
| Model ID | iPad17,4 |
| Motherboard | J821AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.43 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2254
419.2 IPS |
|
|
Image Classification (HP)
|
100% |
18207
3.39 KIPS |
|
|
Image Classification (Q)
|
97% |
23906
4.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2182
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
24251
393.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
32827
532.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11045
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
176957
206.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
329795
386.5 IPS |
|
|
Object Detection (SP)
|
100% |
2667
211.5 IPS |
|
|
Object Detection (HP)
|
100% |
18022
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
26457
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4797
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
47038
558.9 IPS |
|
|
Face Detection (Q)
|
100% |
66571
791.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9084
70.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
111268
857.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
189269
1.48 KIPS |
|
|
Style Transfer (SP)
|
100% |
27585
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
271668
349.2 IPS |
|
|
Style Transfer (Q)
|
96% |
366278
472.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5900
217.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63128
2.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
100040
3.69 KIPS |
|
|
Text Classification (SP)
|
100% |
3196
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
6339
8.46 KIPS |
|
|
Text Classification (Q)
|
93% |
6467
8.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
5126
88.3 IPS |
|
|
Machine Translation (HP)
|
100% |
17797
306.6 IPS |
|
|
Machine Translation (Q)
|
98% |
18534
320.3 IPS |
