iPhone 16 Pro
Geekbench AI Score
4479
Single Precision Score
32759
Half Precision Score
45741
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | eahyndman3 |
| Upload Date | March 15 2025 11:59 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| Model | iPhone 16 Pro |
| Model ID | iPhone17,1 |
| Motherboard | D93AP |
| CPU Information | |
|---|---|
| Name | Apple A18 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2005
372.8 IPS |
|
|
Image Classification (HP)
|
100% |
15175
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
20116
3.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1933
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18302
296.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23935
388.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8547
9.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
150739
175.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
292487
342.8 IPS |
|
|
Object Detection (SP)
|
100% |
2137
169.5 IPS |
|
|
Object Detection (HP)
|
100% |
16238
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22361
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3582
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
41200
489.5 IPS |
|
|
Face Detection (Q)
|
100% |
58163
691.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7659
59.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
95152
733.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
160069
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
23361
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
244248
314.0 IPS |
|
|
Style Transfer (Q)
|
96% |
301430
389.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5502
203.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50191
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82886
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3432
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4677
6.24 KIPS |
|
|
Text Classification (Q)
|
93% |
4861
6.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3794
65.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9316
160.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11260
194.6 IPS |
