iPhone 16 Pro
Geekbench AI Score
4409
Single Precision Score
31965
Half Precision Score
45267
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Skyforger |
| Upload Date | August 01 2025 02:53 PM |
| Views | 13 |
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% |
2049
381.1 IPS |
|
|
Image Classification (HP)
|
100% |
15535
2.89 KIPS |
|
|
Image Classification (Q)
|
97% |
20046
3.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1823
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18439
298.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24022
389.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8174
9.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
145589
169.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
290383
340.3 IPS |
|
|
Object Detection (SP)
|
100% |
2285
181.2 IPS |
|
|
Object Detection (HP)
|
100% |
16286
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22851
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
3833
45.5 IPS |
|
|
Face Detection (HP)
|
100% |
40618
482.6 IPS |
|
|
Face Detection (Q)
|
100% |
57333
681.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7624
58.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
94971
731.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
159539
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
18640
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
245073
315.0 IPS |
|
|
Style Transfer (Q)
|
96% |
301366
388.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5077
187.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50312
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84394
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3384
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
3408
4.55 KIPS |
|
|
Text Classification (Q)
|
93% |
4363
5.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
4260
73.4 IPS |
|
|
Machine Translation (HP)
|
100% |
10118
174.3 IPS |
|
|
Machine Translation (Q)
|
98% |
11139
192.5 IPS |
