iPhone 16 Pro
Geekbench AI Score
4612
Single Precision Score
32979
Half Precision Score
45448
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | melik_alexey |
| Upload Date | April 10 2025 03:27 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2075
385.8 IPS |
|
|
Image Classification (HP)
|
100% |
15235
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
20465
3.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1980
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18318
296.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24154
391.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8964
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
151901
177.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
291965
342.2 IPS |
|
|
Object Detection (SP)
|
100% |
2328
184.7 IPS |
|
|
Object Detection (HP)
|
100% |
16224
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22380
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3964
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
41241
490.0 IPS |
|
|
Face Detection (Q)
|
100% |
57714
685.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8170
62.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
95093
732.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
159041
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
19560
25.1 IPS |
|
|
Style Transfer (HP)
|
100% |
244281
314.0 IPS |
|
|
Style Transfer (Q)
|
96% |
301124
388.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5478
202.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50039
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83472
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3411
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
4570
6.10 KIPS |
|
|
Text Classification (Q)
|
93% |
4432
5.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
4294
74.0 IPS |
|
|
Machine Translation (HP)
|
100% |
10102
174.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11385
196.7 IPS |
