iPhone 16
Geekbench AI Score
4454
Single Precision Score
33794
Half Precision Score
45178
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | sampo81 |
| Upload Date | November 04 2025 06:05 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone 16 |
| Model ID | iPhone17,3 |
| Motherboard | D47AP |
| CPU Information | |
|---|---|
| Name | Apple A18 |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2022
376.1 IPS |
|
|
Image Classification (HP)
|
100% |
14820
2.76 KIPS |
|
|
Image Classification (Q)
|
97% |
18950
3.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1796
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18088
293.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
23424
379.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8604
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
148694
173.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
294005
344.6 IPS |
|
|
Object Detection (SP)
|
100% |
2297
182.2 IPS |
|
|
Object Detection (HP)
|
100% |
15536
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
21270
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
3528
41.9 IPS |
|
|
Face Detection (HP)
|
100% |
40973
486.8 IPS |
|
|
Face Detection (Q)
|
100% |
52915
628.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7711
59.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
94242
726.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
150606
1.18 KIPS |
|
|
Style Transfer (SP)
|
100% |
20547
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
243028
312.4 IPS |
|
|
Style Transfer (Q)
|
96% |
295233
381.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5368
198.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53663
1.98 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81009
2.99 KIPS |
|
|
Text Classification (SP)
|
100% |
3698
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
6349
8.47 KIPS |
|
|
Text Classification (Q)
|
93% |
6208
8.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3864
66.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9813
169.0 IPS |
|
|
Machine Translation (Q)
|
98% |
10785
186.4 IPS |
