iPhone 16 Pro
Geekbench AI Score
4518
Single Precision Score
33206
Half Precision Score
46387
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 22 2025 02:01 AM |
| Views | 1 |
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% |
2047
380.7 IPS |
|
|
Image Classification (HP)
|
100% |
15460
2.88 KIPS |
|
|
Image Classification (Q)
|
97% |
21633
4.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1970
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18241
295.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24077
390.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8651
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
147893
172.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
289763
339.6 IPS |
|
|
Object Detection (SP)
|
100% |
2281
180.9 IPS |
|
|
Object Detection (HP)
|
100% |
16423
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22983
1.84 KIPS |
|
|
Face Detection (SP)
|
100% |
3776
44.9 IPS |
|
|
Face Detection (HP)
|
100% |
41208
489.6 IPS |
|
|
Face Detection (Q)
|
100% |
58938
700.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8053
62.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
95061
732.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
161248
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
19430
25.0 IPS |
|
|
Style Transfer (HP)
|
100% |
244524
314.3 IPS |
|
|
Style Transfer (Q)
|
96% |
302086
389.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5231
193.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50347
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84434
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3382
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4795
6.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4850
6.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
4261
73.4 IPS |
|
|
Machine Translation (HP)
|
100% |
10293
177.3 IPS |
|
|
Machine Translation (Q)
|
98% |
11313
195.5 IPS |
