iPhone 17
Geekbench AI Score
4644
Single Precision Score
7775
Half Precision Score
6173
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | March 17 2026 03:39 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A19 |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| 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% |
2164
402.4 IPS |
|
|
Image Classification (HP)
|
100% |
3547
659.6 IPS |
|
|
Image Classification (Q)
|
96% |
2383
445.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1888
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2901
47.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3284
53.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9269
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
17925
20.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
15144
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
2401
190.5 IPS |
|
|
Object Detection (HP)
|
97% |
4027
320.6 IPS |
|
|
Object Detection (Q)
|
94% |
2721
216.9 IPS |
|
|
Face Detection (SP)
|
100% |
3604
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
7226
85.9 IPS |
|
|
Face Detection (Q)
|
100% |
3987
47.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8100
62.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13416
103.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9622
75.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21657
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
36921
47.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30681
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5346
197.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6773
250.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4836
178.6 IPS |
|
|
Text Classification (SP)
|
100% |
3557
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
6549
8.74 KIPS |
|
|
Text Classification (Q)
|
93% |
6426
8.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
4276
73.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6848
118.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6814
117.8 IPS |
