iPhone 16 Pro
Geekbench AI Score
4689
Single Precision Score
33299
Half Precision Score
45146
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | VenomF5 |
| Upload Date | October 01 2025 05:03 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2061
383.3 IPS |
|
|
Image Classification (HP)
|
100% |
14271
2.65 KIPS |
|
|
Image Classification (Q)
|
97% |
18888
3.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1878
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18052
292.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23685
384.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9263
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
152434
177.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
292756
343.1 IPS |
|
|
Object Detection (SP)
|
100% |
2356
186.9 IPS |
|
|
Object Detection (HP)
|
100% |
15649
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
21280
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
3768
44.8 IPS |
|
|
Face Detection (HP)
|
100% |
40153
477.1 IPS |
|
|
Face Detection (Q)
|
100% |
54017
641.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8184
63.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
94417
727.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
149488
1.17 KIPS |
|
|
Style Transfer (SP)
|
100% |
22363
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
245419
315.5 IPS |
|
|
Style Transfer (Q)
|
96% |
295463
381.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5677
209.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51183
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82333
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3688
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6192
8.26 KIPS |
|
|
Text Classification (Q)
|
93% |
6139
8.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
4213
72.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9250
159.3 IPS |
|
|
Machine Translation (Q)
|
98% |
10467
180.9 IPS |
