iPhone 16 Pro
Geekbench AI Score
4628
Single Precision Score
33234
Half Precision Score
45715
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 15 2025 11:12 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2066
384.2 IPS |
|
|
Image Classification (HP)
|
100% |
15346
2.85 KIPS |
|
|
Image Classification (Q)
|
97% |
20622
3.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1985
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18274
296.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24120
391.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9119
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
153597
179.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
291190
341.3 IPS |
|
|
Object Detection (SP)
|
100% |
2331
184.9 IPS |
|
|
Object Detection (HP)
|
100% |
16371
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22505
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3939
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
40156
477.1 IPS |
|
|
Face Detection (Q)
|
100% |
56685
673.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8238
63.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
95393
734.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
160373
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
20037
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
246154
316.4 IPS |
|
|
Style Transfer (Q)
|
96% |
301545
389.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5469
201.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50145
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84819
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3402
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
4875
6.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4568
6.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
4279
73.7 IPS |
|
|
Machine Translation (HP)
|
100% |
10113
174.2 IPS |
|
|
Machine Translation (Q)
|
98% |
11516
199.0 IPS |
