iPhone 16 Pro
Geekbench AI Score
4563
Single Precision Score
33397
Half Precision Score
45231
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 08:44 AM |
| Views | 3 |
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% |
2056
382.3 IPS |
|
|
Image Classification (HP)
|
100% |
14584
2.71 KIPS |
|
|
Image Classification (Q)
|
97% |
18788
3.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1836
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18105
293.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23677
383.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8800
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
148886
173.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
291042
341.1 IPS |
|
|
Object Detection (SP)
|
100% |
2306
182.9 IPS |
|
|
Object Detection (HP)
|
100% |
15838
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
21179
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
3616
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
40245
478.2 IPS |
|
|
Face Detection (Q)
|
100% |
53108
631.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7924
61.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
94352
726.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
152579
1.19 KIPS |
|
|
Style Transfer (SP)
|
100% |
21501
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
245213
315.2 IPS |
|
|
Style Transfer (Q)
|
96% |
296450
382.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5401
199.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51082
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83341
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3681
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6235
8.32 KIPS |
|
|
Text Classification (Q)
|
93% |
6258
8.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
4171
71.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9349
161.0 IPS |
|
|
Machine Translation (Q)
|
98% |
10434
180.3 IPS |
