iPhone 16 Pro
Geekbench AI Score
4708
Single Precision Score
33318
Half Precision Score
46293
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | MarkJWilcox |
| Upload Date | August 17 2025 08:29 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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
385.5 IPS |
|
|
Image Classification (HP)
|
100% |
15510
2.88 KIPS |
|
|
Image Classification (Q)
|
97% |
20839
3.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2008
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18328
297.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24182
392.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9330
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
152665
178.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
291882
342.1 IPS |
|
|
Object Detection (SP)
|
100% |
2363
187.5 IPS |
|
|
Object Detection (HP)
|
100% |
16369
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
23099
1.85 KIPS |
|
|
Face Detection (SP)
|
100% |
3988
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
40852
485.4 IPS |
|
|
Face Detection (Q)
|
100% |
57435
682.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8382
64.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
95206
733.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
162708
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
21030
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
244661
314.5 IPS |
|
|
Style Transfer (Q)
|
96% |
301593
389.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5696
210.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53256
1.97 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86894
3.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3384
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4524
6.04 KIPS |
|
|
Text Classification (Q)
|
93% |
4634
6.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
4309
74.2 IPS |
|
|
Machine Translation (HP)
|
100% |
10352
178.3 IPS |
|
|
Machine Translation (Q)
|
98% |
11724
202.6 IPS |
