iPhone 16 Pro
Geekbench AI Score
4588
Single Precision Score
33056
Half Precision Score
45403
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Yearcakes |
| Upload Date | January 31 2025 03:03 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
2030
377.5 IPS |
|
|
Image Classification (HP)
|
100% |
15665
2.91 KIPS |
|
|
Image Classification (Q)
|
97% |
20352
3.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1947
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18360
297.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24170
391.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8839
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
154393
180.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
293332
343.8 IPS |
|
|
Object Detection (SP)
|
100% |
2198
174.3 IPS |
|
|
Object Detection (HP)
|
100% |
16144
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22417
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3649
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
41185
489.4 IPS |
|
|
Face Detection (Q)
|
100% |
58142
690.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7953
61.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
94988
731.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
161880
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24254
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
244483
314.3 IPS |
|
|
Style Transfer (Q)
|
96% |
300147
387.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5793
213.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50442
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83604
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3425
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4583
6.12 KIPS |
|
|
Text Classification (Q)
|
93% |
4274
5.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
3862
66.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9830
169.3 IPS |
|
|
Machine Translation (Q)
|
98% |
11402
197.0 IPS |
