iPhone 16 Pro
Geekbench AI Score
4602
Single Precision Score
32964
Half Precision Score
45898
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | huxiaoxi |
| Upload Date | May 26 2025 05:39 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2081
387.0 IPS |
|
|
Image Classification (HP)
|
100% |
15278
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
21302
3.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1986
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18380
297.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24194
392.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9011
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
153629
179.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
292355
342.7 IPS |
|
|
Object Detection (SP)
|
100% |
2342
185.7 IPS |
|
|
Object Detection (HP)
|
100% |
16237
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22949
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
3933
46.7 IPS |
|
|
Face Detection (HP)
|
100% |
40157
477.2 IPS |
|
|
Face Detection (Q)
|
100% |
58588
696.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8178
63.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
94808
730.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
159361
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
19887
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
244703
314.6 IPS |
|
|
Style Transfer (Q)
|
96% |
300596
387.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5301
195.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49957
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84278
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3371
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4561
6.09 KIPS |
|
|
Text Classification (Q)
|
93% |
4414
5.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
4277
73.7 IPS |
|
|
Machine Translation (HP)
|
100% |
10189
175.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11493
198.6 IPS |
