iPhone 16 Pro
Geekbench AI Score
4639
Single Precision Score
33256
Half Precision Score
47085
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | halans |
| Upload Date | September 14 2025 08:15 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2073
385.6 IPS |
|
|
Image Classification (HP)
|
100% |
15490
2.88 KIPS |
|
|
Image Classification (Q)
|
97% |
21215
3.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1974
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18394
298.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24177
391.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9186
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
152880
178.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
291986
342.2 IPS |
|
|
Object Detection (SP)
|
100% |
2343
185.8 IPS |
|
|
Object Detection (HP)
|
100% |
16416
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22446
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3881
46.1 IPS |
|
|
Face Detection (HP)
|
100% |
41205
489.6 IPS |
|
|
Face Detection (Q)
|
100% |
57279
680.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8301
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
95471
735.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
165748
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
20367
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
244368
314.1 IPS |
|
|
Style Transfer (Q)
|
96% |
299442
386.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5475
202.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51852
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84737
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3471
4.63 KIPS |
|
|
Text Classification (HP)
|
100% |
4546
6.07 KIPS |
|
|
Text Classification (Q)
|
93% |
5752
7.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
4209
72.5 IPS |
|
|
Machine Translation (HP)
|
100% |
10213
175.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11500
198.7 IPS |
