iPhone 16 Pro
Geekbench AI Score
4646
Single Precision Score
33038
Half Precision Score
46108
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 24 2025 11:12 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2043
380.0 IPS |
|
|
Image Classification (HP)
|
100% |
15172
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
19964
3.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1980
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18425
298.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24133
391.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9277
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
154667
180.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
294584
345.3 IPS |
|
|
Object Detection (SP)
|
100% |
2199
174.4 IPS |
|
|
Object Detection (HP)
|
100% |
16243
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22715
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
3699
43.9 IPS |
|
|
Face Detection (HP)
|
100% |
41096
488.3 IPS |
|
|
Face Detection (Q)
|
100% |
57029
677.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8060
62.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
95121
732.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
165722
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
24602
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
245204
315.2 IPS |
|
|
Style Transfer (Q)
|
96% |
300041
387.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5846
215.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50486
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84158
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3427
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4788
6.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4817
6.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3866
66.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9522
164.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11719
202.5 IPS |
