iPhone 16 Pro
Geekbench AI Score
4589
Single Precision Score
33142
Half Precision Score
46239
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | vacantsouls |
| Upload Date | July 12 2025 02:05 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2079
386.7 IPS |
|
|
Image Classification (HP)
|
100% |
15852
2.95 KIPS |
|
|
Image Classification (Q)
|
97% |
20708
3.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1969
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18415
298.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23894
387.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8573
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
145198
169.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
288193
337.8 IPS |
|
|
Object Detection (SP)
|
100% |
2306
182.9 IPS |
|
|
Object Detection (HP)
|
100% |
16300
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22676
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3910
46.5 IPS |
|
|
Face Detection (HP)
|
100% |
41204
489.6 IPS |
|
|
Face Detection (Q)
|
100% |
57256
680.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8135
62.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
95821
738.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
161026
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
19970
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
244576
314.4 IPS |
|
|
Style Transfer (Q)
|
96% |
301842
389.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5474
202.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50015
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84480
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3414
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4732
6.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5088
6.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
4313
74.3 IPS |
|
|
Machine Translation (HP)
|
100% |
10127
174.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11552
199.6 IPS |
