iPhone 16 Pro
Geekbench AI Score
5791
Single Precision Score
6737
Half Precision Score
6071
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | eahyndman3 |
| Upload Date | January 22 2025 07:19 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
2982
554.6 IPS |
|
|
Image Classification (HP)
|
100% |
2549
474.1 IPS |
|
|
Image Classification (Q)
|
97% |
2803
523.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3537
57.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4427
71.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4435
71.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15787
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16393
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15776
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
3160
250.6 IPS |
|
|
Object Detection (HP)
|
100% |
3493
277.1 IPS |
|
|
Object Detection (Q)
|
91% |
2863
228.8 IPS |
|
|
Face Detection (SP)
|
100% |
8172
97.1 IPS |
|
|
Face Detection (HP)
|
100% |
11130
132.2 IPS |
|
|
Face Detection (Q)
|
100% |
7702
91.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
14078
108.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
15157
116.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
12273
95.9 IPS |
|
|
Style Transfer (SP)
|
100% |
32911
42.3 IPS |
|
|
Style Transfer (HP)
|
100% |
39040
50.2 IPS |
|
|
Style Transfer (Q)
|
96% |
37299
48.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7973
294.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8112
299.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6541
241.5 IPS |
|
|
Text Classification (SP)
|
100% |
3445
4.60 KIPS |
|
|
Text Classification (HP)
|
100% |
6077
8.11 KIPS |
|
|
Text Classification (Q)
|
93% |
6047
8.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
776
13.4 IPS |
|
|
Machine Translation (HP)
|
100% |
919
15.8 IPS |
|
|
Machine Translation (Q)
|
98% |
869
15.0 IPS |
