iPhone 16
Geekbench AI Score
4240
Single Precision Score
32785
Half Precision Score
45477
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | March 15 2025 08:18 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1918
356.7 IPS |
|
|
Image Classification (HP)
|
100% |
15450
2.87 KIPS |
|
|
Image Classification (Q)
|
97% |
20233
3.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1791
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18144
294.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23745
384.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8094
9.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
152302
177.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
294241
344.9 IPS |
|
|
Object Detection (SP)
|
100% |
2064
163.7 IPS |
|
|
Object Detection (HP)
|
100% |
16302
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22623
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3184
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
40177
477.4 IPS |
|
|
Face Detection (Q)
|
100% |
56193
667.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7392
57.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
95223
733.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
162160
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
22077
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
244571
314.4 IPS |
|
|
Style Transfer (Q)
|
96% |
304471
392.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5203
192.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50190
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86175
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3434
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4410
5.89 KIPS |
|
|
Text Classification (Q)
|
93% |
4318
5.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3525
60.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9954
171.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11461
198.1 IPS |
