iPhone 17
Geekbench AI Score
4084
Single Precision Score
34177
Half Precision Score
47409
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | March 17 2026 03:45 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1788
332.4 IPS |
|
|
Image Classification (HP)
|
100% |
15207
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
21453
4.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1337
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18021
292.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
22636
367.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7315
8.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
133210
155.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
265207
310.8 IPS |
|
|
Object Detection (SP)
|
100% |
2299
182.4 IPS |
|
|
Object Detection (HP)
|
100% |
17028
1.35 KIPS |
|
|
Object Detection (Q)
|
91% |
24889
1.99 KIPS |
|
|
Face Detection (SP)
|
100% |
3066
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
39416
468.3 IPS |
|
|
Face Detection (Q)
|
100% |
49721
590.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7753
59.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
96557
743.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
161337
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
19845
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
240988
309.8 IPS |
|
|
Style Transfer (Q)
|
96% |
337522
435.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4904
181.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55238
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83048
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3465
4.62 KIPS |
|
|
Text Classification (HP)
|
99% |
6408
8.55 KIPS |
|
|
Text Classification (Q)
|
93% |
6441
8.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
4013
69.1 IPS |
|
|
Machine Translation (HP)
|
100% |
10776
185.6 IPS |
|
|
Machine Translation (Q)
|
98% |
12356
213.5 IPS |
