iPhone 16 Pro
Geekbench AI Score
4156
Single Precision Score
33096
Half Precision Score
46118
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | johnclayton |
| Upload Date | January 09 2025 11:15 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1983
368.8 IPS |
|
|
Image Classification (HP)
|
100% |
15373
2.86 KIPS |
|
|
Image Classification (Q)
|
97% |
21235
3.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1939
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18133
293.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24544
397.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8339
9.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
153516
179.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
293758
344.3 IPS |
|
|
Object Detection (SP)
|
100% |
1670
132.5 IPS |
|
|
Object Detection (HP)
|
100% |
16613
1.32 KIPS |
|
|
Object Detection (Q)
|
91% |
21670
1.73 KIPS |
|
|
Face Detection (SP)
|
100% |
2735
32.5 IPS |
|
|
Face Detection (HP)
|
100% |
39724
472.0 IPS |
|
|
Face Detection (Q)
|
100% |
58150
691.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6754
52.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
97063
747.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
160053
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
21998
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
245006
315.0 IPS |
|
|
Style Transfer (Q)
|
96% |
298933
385.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5482
202.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50917
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83706
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3429
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4777
6.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4951
6.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3767
64.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9654
166.3 IPS |
|
|
Machine Translation (Q)
|
98% |
11379
196.6 IPS |
