iPhone 17
Geekbench AI Score
8023
Single Precision Score
15688
Half Precision Score
15585
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | natkat |
| Upload Date | February 05 2026 10:05 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A19 |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| Model | iPhone 17 |
| Model ID | iPhone18,3 |
| Motherboard | V57AP |
| CPU Information | |
|---|---|
| Name | Apple A19 |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3659
680.4 IPS |
|
|
Image Classification (HP)
|
100% |
7247
1.35 KIPS |
|
|
Image Classification (Q)
|
97% |
6471
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5030
81.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8741
141.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9081
147.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
18446
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
50416
58.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
58146
68.2 IPS |
|
|
Object Detection (SP)
|
100% |
3932
311.9 IPS |
|
|
Object Detection (HP)
|
100% |
7450
591.0 IPS |
|
|
Object Detection (Q)
|
93% |
6767
539.8 IPS |
|
|
Face Detection (SP)
|
100% |
9285
110.3 IPS |
|
|
Face Detection (HP)
|
100% |
19064
226.5 IPS |
|
|
Face Detection (Q)
|
100% |
14644
174.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
15770
121.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
34088
262.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
35370
276.2 IPS |
|
|
Style Transfer (SP)
|
100% |
38690
49.7 IPS |
|
|
Style Transfer (HP)
|
100% |
90587
116.5 IPS |
|
|
Style Transfer (Q)
|
96% |
106102
136.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9235
341.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18357
677.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19293
712.4 IPS |
|
|
Text Classification (SP)
|
100% |
3513
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6527
8.71 KIPS |
|
|
Text Classification (Q)
|
93% |
6425
8.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
4505
77.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5381
92.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5368
92.8 IPS |
