iPhone 16 Pro
Geekbench AI Score
4583
Single Precision Score
32996
Half Precision Score
45542
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 07 2025 11:23 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
2035
378.4 IPS |
|
|
Image Classification (HP)
|
100% |
15293
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
20090
3.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1975
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18293
296.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24169
391.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8971
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
154433
180.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
293633
344.2 IPS |
|
|
Object Detection (SP)
|
100% |
2176
172.6 IPS |
|
|
Object Detection (HP)
|
100% |
16183
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22090
1.77 KIPS |
|
|
Face Detection (SP)
|
100% |
3666
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
41175
489.2 IPS |
|
|
Face Detection (Q)
|
100% |
57227
680.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7862
60.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
95201
733.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
161156
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24189
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
245926
316.1 IPS |
|
|
Style Transfer (Q)
|
96% |
301940
389.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5753
212.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50484
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85275
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3431
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4848
6.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4525
6.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3788
65.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9275
159.8 IPS |
|
|
Machine Translation (Q)
|
98% |
11344
196.0 IPS |
