iPhone 16 Pro
Geekbench AI Score
4588
Single Precision Score
33201
Half Precision Score
45328
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | ___ |
| Upload Date | September 19 2025 09:49 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2064
383.8 IPS |
|
|
Image Classification (HP)
|
100% |
14160
2.63 KIPS |
|
|
Image Classification (Q)
|
97% |
18917
3.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1897
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18145
294.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23568
382.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8915
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
147262
171.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
291521
341.7 IPS |
|
|
Object Detection (SP)
|
100% |
2263
179.5 IPS |
|
|
Object Detection (HP)
|
100% |
15887
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
21456
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
3760
44.7 IPS |
|
|
Face Detection (HP)
|
100% |
40170
477.3 IPS |
|
|
Face Detection (Q)
|
100% |
53059
630.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8070
62.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
94418
727.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
156932
1.23 KIPS |
|
|
Style Transfer (SP)
|
100% |
21586
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
245628
315.8 IPS |
|
|
Style Transfer (Q)
|
96% |
298306
384.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5251
193.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51009
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80489
2.97 KIPS |
|
|
Text Classification (SP)
|
100% |
3678
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6269
8.37 KIPS |
|
|
Text Classification (Q)
|
93% |
6267
8.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
4141
71.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9089
156.6 IPS |
|
|
Machine Translation (Q)
|
98% |
10481
181.1 IPS |
