iPad17,2
Geekbench AI Score
5573
Single Precision Score
40928
Half Precision Score
57487
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | foolsmac |
| Upload Date | February 27 2026 02:24 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| Model | iPad17,2 |
| Model ID | iPad17,2 |
| Motherboard | J818AP |
| 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 | 11.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2273
422.7 IPS |
|
|
Image Classification (HP)
|
100% |
17807
3.31 KIPS |
|
|
Image Classification (Q)
|
97% |
24224
4.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2379
38.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
24499
397.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
34302
556.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9839
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
177644
207.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
332353
389.5 IPS |
|
|
Object Detection (SP)
|
100% |
2736
217.0 IPS |
|
|
Object Detection (HP)
|
100% |
18452
1.46 KIPS |
|
|
Object Detection (Q)
|
89% |
26874
2.15 KIPS |
|
|
Face Detection (SP)
|
100% |
5142
61.1 IPS |
|
|
Face Detection (HP)
|
100% |
48460
575.8 IPS |
|
|
Face Detection (Q)
|
100% |
75649
898.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8796
67.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
109521
843.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
184332
1.44 KIPS |
|
|
Style Transfer (SP)
|
100% |
25449
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
272915
350.8 IPS |
|
|
Style Transfer (Q)
|
96% |
338870
437.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5816
214.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
61376
2.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
95437
3.52 KIPS |
|
|
Text Classification (SP)
|
99% |
5808
7.75 KIPS |
|
|
Text Classification (HP)
|
100% |
5943
7.93 KIPS |
|
|
Text Classification (Q)
|
93% |
6483
8.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
5111
88.0 IPS |
|
|
Machine Translation (HP)
|
100% |
17457
300.7 IPS |
|
|
Machine Translation (Q)
|
98% |
18169
314.0 IPS |
