iPhone 16 Pro
Geekbench AI Score
4413
Single Precision Score
33487
Half Precision Score
45514
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Skyforger |
| Upload Date | June 10 2025 10:16 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2045
380.3 IPS |
|
|
Image Classification (HP)
|
100% |
14321
2.66 KIPS |
|
|
Image Classification (Q)
|
97% |
18271
3.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1847
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18113
293.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23599
382.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8436
9.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
143274
167.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
290471
340.5 IPS |
|
|
Object Detection (SP)
|
100% |
2278
180.7 IPS |
|
|
Object Detection (HP)
|
100% |
15338
1.22 KIPS |
|
|
Object Detection (Q)
|
91% |
21087
1.68 KIPS |
|
|
Face Detection (SP)
|
100% |
3598
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
39963
474.8 IPS |
|
|
Face Detection (Q)
|
100% |
53528
636.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7614
58.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
93887
723.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
155089
1.21 KIPS |
|
|
Style Transfer (SP)
|
100% |
20863
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
244576
314.4 IPS |
|
|
Style Transfer (Q)
|
96% |
295753
381.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4991
184.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50646
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78688
2.91 KIPS |
|
|
Text Classification (SP)
|
100% |
3360
4.48 KIPS |
|
|
Text Classification (HP)
|
100% |
5924
7.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5768
7.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
4030
69.4 IPS |
|
|
Machine Translation (HP)
|
100% |
11301
194.7 IPS |
|
|
Machine Translation (Q)
|
98% |
12964
224.0 IPS |
