iPhone 16
Geekbench AI Score
4479
Single Precision Score
33320
Half Precision Score
45891
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 29 2025 01:14 AM |
| Views | 4 |
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% |
2002
372.3 IPS |
|
|
Image Classification (HP)
|
100% |
15489
2.88 KIPS |
|
|
Image Classification (Q)
|
97% |
20654
3.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1758
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18189
294.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23712
384.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9001
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
153820
179.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
293480
344.0 IPS |
|
|
Object Detection (SP)
|
100% |
2337
185.4 IPS |
|
|
Object Detection (HP)
|
100% |
16297
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22755
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
3579
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
39736
472.1 IPS |
|
|
Face Detection (Q)
|
100% |
56098
666.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8203
63.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
95700
737.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
160404
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
19473
25.0 IPS |
|
|
Style Transfer (HP)
|
100% |
245997
316.2 IPS |
|
|
Style Transfer (Q)
|
96% |
302564
390.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5680
209.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51262
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84939
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3403
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
4724
6.31 KIPS |
|
|
Text Classification (Q)
|
93% |
4677
6.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3975
68.5 IPS |
|
|
Machine Translation (HP)
|
100% |
10546
181.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11711
202.4 IPS |
