iPhone 17
Geekbench AI Score
4800
Single Precision Score
37180
Half Precision Score
51922
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Suavenieve |
| Upload Date | February 19 2026 03:38 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A19 |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
2207
410.4 IPS |
|
|
Image Classification (HP)
|
100% |
15597
2.90 KIPS |
|
|
Image Classification (Q)
|
97% |
22874
4.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1794
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19619
318.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24133
391.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7622
8.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
152448
177.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
293457
343.9 IPS |
|
|
Object Detection (SP)
|
100% |
2521
199.9 IPS |
|
|
Object Detection (HP)
|
100% |
17341
1.38 KIPS |
|
|
Object Detection (Q)
|
89% |
25046
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
3816
45.3 IPS |
|
|
Face Detection (HP)
|
100% |
39319
467.2 IPS |
|
|
Face Detection (Q)
|
100% |
54579
648.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7800
60.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
102142
786.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
172219
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
20216
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
252915
325.1 IPS |
|
|
Style Transfer (Q)
|
96% |
319749
412.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4920
181.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55720
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85552
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
6901
9.21 KIPS |
|
|
Text Classification (HP)
|
100% |
10952
14.6 KIPS |
|
|
Text Classification (Q)
|
93% |
11965
16.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
4185
72.1 IPS |
|
|
Machine Translation (HP)
|
100% |
10069
173.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11409
197.2 IPS |
