iPhone 16 Pro
Geekbench AI Score
4618
Single Precision Score
32776
Half Precision Score
42877
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 04 2025 01:12 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
2068
384.6 IPS |
|
|
Image Classification (HP)
|
100% |
15187
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
20681
3.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1988
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18222
295.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24093
390.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9016
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
152939
178.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
290726
340.7 IPS |
|
|
Object Detection (SP)
|
100% |
2343
185.8 IPS |
|
|
Object Detection (HP)
|
100% |
16114
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22521
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3974
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
41252
490.2 IPS |
|
|
Face Detection (Q)
|
100% |
57903
688.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8176
63.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
94914
731.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
159011
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
19775
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
244409
314.2 IPS |
|
|
Style Transfer (Q)
|
96% |
299042
385.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5376
198.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49901
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83254
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3398
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
4331
5.78 KIPS |
|
|
Text Classification (Q)
|
93% |
2594
3.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
4331
74.6 IPS |
|
|
Machine Translation (HP)
|
100% |
10146
174.8 IPS |
|
|
Machine Translation (Q)
|
98% |
10827
187.1 IPS |
