iPhone 16 Pro
Geekbench AI Score
4808
Single Precision Score
32957
Half Precision Score
45202
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Yearcakes |
| Upload Date | August 18 2025 03:49 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2059
382.9 IPS |
|
|
Image Classification (HP)
|
100% |
15234
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
19317
3.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2014
32.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18379
297.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24156
391.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9936
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
153130
178.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
293359
343.8 IPS |
|
|
Object Detection (SP)
|
100% |
2394
189.9 IPS |
|
|
Object Detection (HP)
|
100% |
16481
1.31 KIPS |
|
|
Object Detection (Q)
|
91% |
22605
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
4061
48.3 IPS |
|
|
Face Detection (HP)
|
100% |
40270
478.5 IPS |
|
|
Face Detection (Q)
|
100% |
56430
670.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8498
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
95536
736.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
160670
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
22549
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
247105
317.7 IPS |
|
|
Style Transfer (Q)
|
96% |
300508
387.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5837
215.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51232
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87701
3.24 KIPS |
|
|
Text Classification (SP)
|
100% |
3403
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
4269
5.70 KIPS |
|
|
Text Classification (Q)
|
93% |
4352
5.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
4337
74.7 IPS |
|
|
Machine Translation (HP)
|
100% |
10291
177.3 IPS |
|
|
Machine Translation (Q)
|
98% |
11069
191.3 IPS |
