iPhone 16 Pro
Geekbench AI Score
4636
Single Precision Score
33194
Half Precision Score
46183
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | TeckFire |
| Upload Date | March 10 2025 03:16 AM |
| Views | 6 |
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% |
2066
384.2 IPS |
|
|
Image Classification (HP)
|
100% |
15408
2.87 KIPS |
|
|
Image Classification (Q)
|
97% |
20821
3.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1996
32.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18286
296.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24143
391.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9181
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
152725
178.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
294009
344.6 IPS |
|
|
Object Detection (SP)
|
100% |
2322
184.2 IPS |
|
|
Object Detection (HP)
|
100% |
16354
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22939
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
3942
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
41257
490.2 IPS |
|
|
Face Detection (Q)
|
100% |
58998
701.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8250
63.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
95224
733.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
164259
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
20022
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
244785
314.7 IPS |
|
|
Style Transfer (Q)
|
96% |
303889
392.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5597
206.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50466
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85856
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3384
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4679
6.24 KIPS |
|
|
Text Classification (Q)
|
93% |
4707
6.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
4230
72.9 IPS |
|
|
Machine Translation (HP)
|
100% |
10164
175.1 IPS |
|
|
Machine Translation (Q)
|
98% |
10941
189.1 IPS |
