iPad17,1
Geekbench AI Score
5324
Single Precision Score
41314
Half Precision Score
57491
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | cgraff |
| Upload Date | March 07 2026 06:57 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPad17,1 |
| Model ID | iPad17,1 |
| Motherboard | J817AP |
| 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 | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2290
425.9 IPS |
|
|
Image Classification (HP)
|
100% |
18190
3.38 KIPS |
|
|
Image Classification (Q)
|
97% |
23923
4.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2344
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
24205
392.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
33425
541.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11048
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
177478
207.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
334747
392.3 IPS |
|
|
Object Detection (SP)
|
100% |
2669
211.7 IPS |
|
|
Object Detection (HP)
|
100% |
18056
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
26393
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4775
56.7 IPS |
|
|
Face Detection (HP)
|
100% |
47087
559.5 IPS |
|
|
Face Detection (Q)
|
100% |
66458
789.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9078
69.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
110445
850.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
179715
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
27594
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
270732
348.0 IPS |
|
|
Style Transfer (Q)
|
96% |
372120
480.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5991
221.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
62684
2.31 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
99438
3.67 KIPS |
|
|
Text Classification (SP)
|
100% |
3125
4.17 KIPS |
|
|
Text Classification (HP)
|
100% |
6595
8.80 KIPS |
|
|
Text Classification (Q)
|
93% |
6893
9.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
5169
89.0 IPS |
|
|
Machine Translation (HP)
|
100% |
17641
303.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18330
316.8 IPS |
