iPhone 16 Pro
Geekbench AI Score
4643
Single Precision Score
32906
Half Precision Score
45771
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | March 15 2025 08:06 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
2042
379.7 IPS |
|
|
Image Classification (HP)
|
100% |
15082
2.80 KIPS |
|
|
Image Classification (Q)
|
97% |
20107
3.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1984
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18409
298.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24146
391.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9164
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
154723
180.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
293995
344.6 IPS |
|
|
Object Detection (SP)
|
100% |
2207
175.0 IPS |
|
|
Object Detection (HP)
|
100% |
16078
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22379
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3719
44.2 IPS |
|
|
Face Detection (HP)
|
100% |
40470
480.9 IPS |
|
|
Face Detection (Q)
|
100% |
58176
691.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8104
62.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
94839
730.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
159298
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
24779
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
243983
313.6 IPS |
|
|
Style Transfer (Q)
|
96% |
300120
387.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5809
214.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50614
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83338
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3419
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4726
6.31 KIPS |
|
|
Text Classification (Q)
|
93% |
4839
6.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3839
66.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9622
165.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11266
194.7 IPS |
