iPhone 16 Pro
Geekbench AI Score
4312
Single Precision Score
31025
Half Precision Score
42409
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | TZBQWEAS |
| Upload Date | March 21 2025 03:22 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
2000
371.9 IPS |
|
|
Image Classification (HP)
|
100% |
15216
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
20720
3.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1897
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18121
293.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24068
390.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7869
9.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
142746
166.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
292067
342.3 IPS |
|
|
Object Detection (SP)
|
100% |
2029
161.0 IPS |
|
|
Object Detection (HP)
|
100% |
16247
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22390
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3448
41.0 IPS |
|
|
Face Detection (HP)
|
100% |
41172
489.2 IPS |
|
|
Face Detection (Q)
|
100% |
56772
674.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7095
54.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
94057
724.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
158287
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
21792
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
243840
313.5 IPS |
|
|
Style Transfer (Q)
|
96% |
301869
389.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5274
194.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49231
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84021
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3406
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
3078
4.11 KIPS |
|
|
Text Classification (Q)
|
93% |
2254
3.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3833
66.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9032
155.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11235
194.2 IPS |
