iPhone 16
Geekbench AI Score
4238
Single Precision Score
32983
Half Precision Score
45824
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 28 2024 02:14 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1944
361.5 IPS |
|
|
Image Classification (HP)
|
100% |
15522
2.89 KIPS |
|
|
Image Classification (Q)
|
97% |
20736
3.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1715
27.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18169
294.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23755
385.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8295
9.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
153209
178.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
295505
346.3 IPS |
|
|
Object Detection (SP)
|
100% |
2058
163.3 IPS |
|
|
Object Detection (HP)
|
100% |
16333
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22791
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
3236
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
40191
477.6 IPS |
|
|
Face Detection (Q)
|
100% |
56590
672.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7432
57.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
96257
741.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
162275
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
22274
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
245194
315.2 IPS |
|
|
Style Transfer (Q)
|
96% |
303489
391.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5187
191.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51081
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84342
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3427
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4362
5.82 KIPS |
|
|
Text Classification (Q)
|
93% |
4427
5.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3455
59.5 IPS |
|
|
Machine Translation (HP)
|
100% |
10218
176.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11826
204.4 IPS |
