iPhone 16
Geekbench AI Score
4247
Single Precision Score
7305
Half Precision Score
5805
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 02 2025 08:51 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1993
370.7 IPS |
|
|
Image Classification (HP)
|
100% |
3216
598.2 IPS |
|
|
Image Classification (Q)
|
96% |
2196
410.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1802
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2764
44.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3167
51.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8240
9.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
16623
19.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14271
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
2210
175.3 IPS |
|
|
Object Detection (HP)
|
97% |
3649
290.5 IPS |
|
|
Object Detection (Q)
|
94% |
2524
201.2 IPS |
|
|
Face Detection (SP)
|
100% |
3429
40.7 IPS |
|
|
Face Detection (HP)
|
100% |
6711
79.7 IPS |
|
|
Face Detection (Q)
|
100% |
3773
44.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7547
58.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13479
104.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9139
71.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17570
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
35294
45.4 IPS |
|
|
Style Transfer (Q)
|
96% |
28734
37.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4856
179.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7107
262.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4942
182.5 IPS |
|
|
Text Classification (SP)
|
100% |
3382
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5923
7.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5905
7.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3911
67.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5976
103.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6002
103.7 IPS |
