iPhone 16 Pro
Geekbench AI Score
5739
Single Precision Score
6422
Half Precision Score
6100
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | January 16 2025 06:32 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3002
558.2 IPS |
|
|
Image Classification (HP)
|
100% |
1712
318.4 IPS |
|
|
Image Classification (Q)
|
97% |
2731
509.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3514
57.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4375
70.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4373
70.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15667
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16421
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15638
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
3231
256.3 IPS |
|
|
Object Detection (HP)
|
100% |
3596
285.2 IPS |
|
|
Object Detection (Q)
|
91% |
2823
225.6 IPS |
|
|
Face Detection (SP)
|
100% |
7891
93.8 IPS |
|
|
Face Detection (HP)
|
100% |
10894
129.4 IPS |
|
|
Face Detection (Q)
|
100% |
7708
91.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13981
107.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
15181
117.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
13098
102.4 IPS |
|
|
Style Transfer (SP)
|
100% |
32521
41.8 IPS |
|
|
Style Transfer (HP)
|
100% |
39356
50.6 IPS |
|
|
Style Transfer (Q)
|
96% |
37068
47.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7940
293.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8272
305.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7052
260.4 IPS |
|
|
Text Classification (SP)
|
100% |
3435
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
5907
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5883
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
742
12.8 IPS |
|
|
Machine Translation (HP)
|
100% |
849
14.6 IPS |
|
|
Machine Translation (Q)
|
98% |
872
15.1 IPS |
