iPhone 16
Geekbench AI Score
4292
Single Precision Score
32907
Half Precision Score
46003
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | sampo81 |
| Upload Date | May 12 2025 07:19 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2023
376.2 IPS |
|
|
Image Classification (HP)
|
100% |
14856
2.76 KIPS |
|
|
Image Classification (Q)
|
97% |
20941
3.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1784
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18156
294.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23738
384.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8215
9.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
146327
170.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
293207
343.7 IPS |
|
|
Object Detection (SP)
|
100% |
2232
177.1 IPS |
|
|
Object Detection (HP)
|
100% |
16254
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22519
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3491
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
39998
475.3 IPS |
|
|
Face Detection (Q)
|
100% |
56728
674.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7744
59.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
95391
734.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
160721
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
17809
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
244432
314.2 IPS |
|
|
Style Transfer (Q)
|
96% |
303827
392.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5092
188.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50223
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84293
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3370
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4724
6.30 KIPS |
|
|
Text Classification (Q)
|
93% |
4758
6.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3889
67.0 IPS |
|
|
Machine Translation (HP)
|
100% |
10492
180.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11641
201.2 IPS |
