iPhone 16 Pro
Geekbench AI Score
4468
Single Precision Score
33064
Half Precision Score
45595
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | eahyndman3 |
| Upload Date | March 16 2025 12:00 AM |
| Views | 15 |
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% |
1983
368.8 IPS |
|
|
Image Classification (HP)
|
100% |
15443
2.87 KIPS |
|
|
Image Classification (Q)
|
97% |
19505
3.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1934
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18280
296.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24131
391.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8445
9.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
151266
176.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
293341
343.8 IPS |
|
|
Object Detection (SP)
|
100% |
2159
171.2 IPS |
|
|
Object Detection (HP)
|
100% |
16247
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22419
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3629
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
41223
489.8 IPS |
|
|
Face Detection (Q)
|
100% |
57455
682.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7758
59.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
96138
740.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
163701
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
23416
30.1 IPS |
|
|
Style Transfer (HP)
|
100% |
245311
315.4 IPS |
|
|
Style Transfer (Q)
|
96% |
304577
393.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5264
194.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51491
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85382
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3449
4.60 KIPS |
|
|
Text Classification (HP)
|
100% |
4495
6.00 KIPS |
|
|
Text Classification (Q)
|
93% |
4564
6.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3791
65.3 IPS |
|
|
Machine Translation (HP)
|
100% |
10003
172.3 IPS |
|
|
Machine Translation (Q)
|
98% |
11240
194.2 IPS |
