iPhone 16
Geekbench AI Score
4246
Single Precision Score
32991
Half Precision Score
45298
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 08:43 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPhone 16 |
| Model ID | iPhone17,3 |
| Motherboard | D47AP |
| CPU Information | |
|---|---|
| Name | Apple A18 |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1899
353.1 IPS |
|
|
Image Classification (HP)
|
100% |
15512
2.88 KIPS |
|
|
Image Classification (Q)
|
97% |
19756
3.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1759
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18164
294.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23774
385.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8253
9.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
152722
178.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
294531
345.2 IPS |
|
|
Object Detection (SP)
|
100% |
2047
162.4 IPS |
|
|
Object Detection (HP)
|
100% |
16548
1.31 KIPS |
|
|
Object Detection (Q)
|
91% |
22408
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3250
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
40657
483.1 IPS |
|
|
Face Detection (Q)
|
100% |
56076
666.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7463
57.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
95909
738.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
162920
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
22301
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
245202
315.2 IPS |
|
|
Style Transfer (Q)
|
96% |
302203
390.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5115
188.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51062
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83232
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3477
4.64 KIPS |
|
|
Text Classification (HP)
|
100% |
4364
5.82 KIPS |
|
|
Text Classification (Q)
|
93% |
4334
5.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3510
60.5 IPS |
|
|
Machine Translation (HP)
|
100% |
10068
173.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11783
203.6 IPS |
