iPhone 16
Geekbench AI Score
4331
Single Precision Score
32935
Half Precision Score
45420
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | sampo81 |
| Upload Date | May 18 2025 07:27 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2005
372.8 IPS |
|
|
Image Classification (HP)
|
100% |
15626
2.91 KIPS |
|
|
Image Classification (Q)
|
97% |
20019
3.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1779
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18151
294.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
23744
384.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8520
9.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
152850
178.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
293639
344.2 IPS |
|
|
Object Detection (SP)
|
100% |
2284
181.1 IPS |
|
|
Object Detection (HP)
|
100% |
16417
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22682
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3492
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
39935
474.5 IPS |
|
|
Face Detection (Q)
|
100% |
56223
668.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7928
61.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
95077
732.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
159135
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
18181
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
245423
315.5 IPS |
|
|
Style Transfer (Q)
|
96% |
303120
391.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5043
186.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50041
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85959
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3376
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4389
5.86 KIPS |
|
|
Text Classification (Q)
|
93% |
4464
5.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3904
67.2 IPS |
|
|
Machine Translation (HP)
|
100% |
10310
177.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11342
196.0 IPS |
