iPhone 16
Geekbench AI Score
4541
Single Precision Score
34038
Half Precision Score
46173
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 28 2025 10:39 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
2056
382.3 IPS |
|
|
Image Classification (HP)
|
100% |
14542
2.70 KIPS |
|
|
Image Classification (Q)
|
97% |
19222
3.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1769
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18129
293.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23453
380.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9083
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
153376
179.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
294136
344.7 IPS |
|
|
Object Detection (SP)
|
100% |
2370
188.0 IPS |
|
|
Object Detection (HP)
|
100% |
15717
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
21393
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
3585
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
39812
473.1 IPS |
|
|
Face Detection (Q)
|
100% |
52565
624.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8053
62.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
95878
738.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
154033
1.20 KIPS |
|
|
Style Transfer (SP)
|
100% |
21061
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
245209
315.2 IPS |
|
|
Style Transfer (Q)
|
96% |
296060
382.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5507
203.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51139
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81491
3.01 KIPS |
|
|
Text Classification (SP)
|
100% |
3574
4.77 KIPS |
|
|
Text Classification (HP)
|
99% |
5873
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5800
7.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3985
68.6 IPS |
|
|
Machine Translation (HP)
|
100% |
11688
201.3 IPS |
|
|
Machine Translation (Q)
|
98% |
13706
236.9 IPS |
