iPad17,2
Geekbench AI Score
13395
Single Precision Score
24000
Half Precision Score
25256
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | bkelly |
| Upload Date | March 24 2026 04:10 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| Model | iPad17,2 |
| Model ID | iPad17,2 |
| Motherboard | J818AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.11 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5968
1.11 KIPS |
|
|
Image Classification (HP)
|
100% |
10201
1.90 KIPS |
|
|
Image Classification (Q)
|
99% |
10337
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9940
161.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
15440
250.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
16515
267.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
37648
43.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
90731
105.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
118201
138.5 IPS |
|
|
Object Detection (SP)
|
100% |
6339
502.8 IPS |
|
|
Object Detection (HP)
|
100% |
11176
886.5 IPS |
|
|
Object Detection (Q)
|
94% |
11743
936.3 IPS |
|
|
Face Detection (SP)
|
100% |
19016
226.0 IPS |
|
|
Face Detection (HP)
|
100% |
34643
411.6 IPS |
|
|
Face Detection (Q)
|
100% |
33290
395.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
27576
212.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
51317
395.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
55051
429.8 IPS |
|
|
Style Transfer (SP)
|
100% |
78862
101.4 IPS |
|
|
Style Transfer (HP)
|
100% |
163356
210.0 IPS |
|
|
Style Transfer (Q)
|
96% |
206591
266.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15396
568.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29735
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28372
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3038
4.05 KIPS |
|
|
Text Classification (HP)
|
99% |
5563
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5579
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
6792
117.0 IPS |
|
|
Machine Translation (HP)
|
100% |
8266
142.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7437
128.5 IPS |
