iPhone 16 Pro
Geekbench AI Score
4523
Single Precision Score
33376
Half Precision Score
46073
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | iClondike |
| Upload Date | July 31 2025 04:46 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2080
386.8 IPS |
|
|
Image Classification (HP)
|
100% |
14910
2.77 KIPS |
|
|
Image Classification (Q)
|
97% |
20886
3.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1987
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18242
295.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24168
391.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8585
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
149185
174.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
291479
341.6 IPS |
|
|
Object Detection (SP)
|
100% |
2284
181.2 IPS |
|
|
Object Detection (HP)
|
100% |
16578
1.31 KIPS |
|
|
Object Detection (Q)
|
91% |
22490
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3855
45.8 IPS |
|
|
Face Detection (HP)
|
100% |
40356
479.5 IPS |
|
|
Face Detection (Q)
|
100% |
57070
678.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7970
61.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
95545
736.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
160448
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
19298
24.8 IPS |
|
|
Style Transfer (HP)
|
100% |
245313
315.4 IPS |
|
|
Style Transfer (Q)
|
96% |
300468
387.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5192
191.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51602
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84149
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3384
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5151
6.87 KIPS |
|
|
Text Classification (Q)
|
93% |
4933
6.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
4251
73.2 IPS |
|
|
Machine Translation (HP)
|
100% |
10143
174.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11406
197.1 IPS |
