iPhone 17
Geekbench AI Score
4626
Single Precision Score
35300
Half Precision Score
48334
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 17 2026 07:44 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% |
2183
406.0 IPS |
|
|
Image Classification (HP)
|
100% |
15703
2.92 KIPS |
|
|
Image Classification (Q)
|
97% |
21435
4.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1847
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18730
303.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24017
389.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9373
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
154671
180.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
298712
350.1 IPS |
|
|
Object Detection (SP)
|
100% |
2469
195.8 IPS |
|
|
Object Detection (HP)
|
100% |
17330
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
24451
1.95 KIPS |
|
|
Face Detection (SP)
|
100% |
3451
41.0 IPS |
|
|
Face Detection (HP)
|
100% |
39393
468.1 IPS |
|
|
Face Detection (Q)
|
100% |
50857
604.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8098
62.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
101778
784.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
161296
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
21413
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
252212
324.2 IPS |
|
|
Style Transfer (Q)
|
96% |
346971
447.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5221
192.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56273
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85956
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3538
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
6405
8.55 KIPS |
|
|
Text Classification (Q)
|
93% |
6427
8.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
4357
75.1 IPS |
|
|
Machine Translation (HP)
|
100% |
10456
180.1 IPS |
|
|
Machine Translation (Q)
|
98% |
11772
203.4 IPS |
