iPhone 16 Pro
Geekbench AI Score
4580
Single Precision Score
33257
Half Precision Score
46137
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 14 2025 09:01 AM |
| Views | 2 |
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% |
2084
387.6 IPS |
|
|
Image Classification (HP)
|
100% |
15640
2.91 KIPS |
|
|
Image Classification (Q)
|
97% |
20625
3.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1990
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18420
298.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24063
390.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8897
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
151317
176.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
291338
341.5 IPS |
|
|
Object Detection (SP)
|
100% |
2330
184.8 IPS |
|
|
Object Detection (HP)
|
100% |
16406
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22688
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3899
46.3 IPS |
|
|
Face Detection (HP)
|
100% |
40904
486.0 IPS |
|
|
Face Detection (Q)
|
100% |
57695
685.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7975
61.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
94801
730.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
159646
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
19623
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
244407
314.2 IPS |
|
|
Style Transfer (Q)
|
96% |
304625
393.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5380
198.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50628
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84249
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3375
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4704
6.28 KIPS |
|
|
Text Classification (Q)
|
93% |
4922
6.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
4271
73.6 IPS |
|
|
Machine Translation (HP)
|
100% |
10256
176.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11452
197.9 IPS |
