iPad17,2
Geekbench AI Score
5234
Single Precision Score
42738
Half Precision Score
60253
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | iPhil |
| Upload Date | February 12 2026 01:48 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| Model | iPad17,2 |
| Model ID | iPad17,2 |
| Motherboard | J818AP |
| 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 | 11.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2286
425.1 IPS |
|
|
Image Classification (HP)
|
100% |
18708
3.48 KIPS |
|
|
Image Classification (Q)
|
97% |
26875
5.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2377
38.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
24833
402.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
33872
549.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10296
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
178854
208.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
331624
388.7 IPS |
|
|
Object Detection (SP)
|
100% |
2644
209.7 IPS |
|
|
Object Detection (HP)
|
100% |
19661
1.56 KIPS |
|
|
Object Detection (Q)
|
91% |
27756
2.22 KIPS |
|
|
Face Detection (SP)
|
100% |
4620
54.9 IPS |
|
|
Face Detection (HP)
|
100% |
44360
527.1 IPS |
|
|
Face Detection (Q)
|
100% |
69079
820.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9108
70.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
113884
877.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
192125
1.50 KIPS |
|
|
Style Transfer (SP)
|
100% |
27258
35.0 IPS |
|
|
Style Transfer (HP)
|
100% |
275714
354.4 IPS |
|
|
Style Transfer (Q)
|
96% |
377450
487.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6032
222.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
66074
2.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
103987
3.84 KIPS |
|
|
Text Classification (SP)
|
100% |
2946
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
7379
9.85 KIPS |
|
|
Text Classification (Q)
|
93% |
7517
10.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
5122
88.2 IPS |
|
|
Machine Translation (HP)
|
100% |
18326
315.7 IPS |
|
|
Machine Translation (Q)
|
98% |
19222
332.2 IPS |
