iPhone 16
Geekbench AI Score
4223
Single Precision Score
33824
Half Precision Score
45345
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 02 2025 12:39 AM |
| Views | 2 |
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% |
2023
376.1 IPS |
|
|
Image Classification (HP)
|
100% |
14666
2.73 KIPS |
|
|
Image Classification (Q)
|
97% |
18148
3.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1745
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18067
292.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23625
383.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7748
9.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
137458
160.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
272064
318.9 IPS |
|
|
Object Detection (SP)
|
100% |
2206
175.0 IPS |
|
|
Object Detection (HP)
|
100% |
16029
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
21729
1.74 KIPS |
|
|
Face Detection (SP)
|
100% |
3352
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
39714
471.9 IPS |
|
|
Face Detection (Q)
|
100% |
50148
595.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7125
54.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
94419
727.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
149975
1.17 KIPS |
|
|
Style Transfer (SP)
|
100% |
18104
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
244098
313.8 IPS |
|
|
Style Transfer (Q)
|
96% |
295868
381.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4835
178.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52756
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80021
2.95 KIPS |
|
|
Text Classification (SP)
|
100% |
3640
4.86 KIPS |
|
|
Text Classification (HP)
|
99% |
5986
7.99 KIPS |
|
|
Text Classification (Q)
|
93% |
5950
7.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3930
67.7 IPS |
|
|
Machine Translation (HP)
|
100% |
11617
200.1 IPS |
|
|
Machine Translation (Q)
|
98% |
13688
236.5 IPS |
