iPhone 17
Geekbench AI Score
4684
Single Precision Score
35489
Half Precision Score
48798
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 28 2026 05:04 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A19 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2184
406.2 IPS |
|
|
Image Classification (HP)
|
100% |
15901
2.96 KIPS |
|
|
Image Classification (Q)
|
97% |
22709
4.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1845
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19009
308.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24292
393.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9576
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
153592
179.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
294572
345.3 IPS |
|
|
Object Detection (SP)
|
100% |
2471
196.0 IPS |
|
|
Object Detection (HP)
|
100% |
17267
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
24375
1.95 KIPS |
|
|
Face Detection (SP)
|
100% |
3677
43.7 IPS |
|
|
Face Detection (HP)
|
100% |
39261
466.5 IPS |
|
|
Face Detection (Q)
|
100% |
50713
602.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8154
62.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
101115
779.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
160939
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
21682
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
248932
320.0 IPS |
|
|
Style Transfer (Q)
|
96% |
345032
445.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5243
193.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55275
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85797
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3580
4.78 KIPS |
|
|
Text Classification (HP)
|
99% |
6592
8.80 KIPS |
|
|
Text Classification (Q)
|
93% |
6488
8.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
4372
75.3 IPS |
|
|
Machine Translation (HP)
|
100% |
10981
189.1 IPS |
|
|
Machine Translation (Q)
|
98% |
12333
213.1 IPS |
