iPhone 16 Pro
Geekbench AI Score
4647
Single Precision Score
32878
Half Precision Score
46223
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | MarkJWilcox |
| Upload Date | January 23 2025 10:47 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2052
381.7 IPS |
|
|
Image Classification (HP)
|
100% |
15245
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
20401
3.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1971
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18257
296.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24047
389.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9267
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
154399
180.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
293357
343.8 IPS |
|
|
Object Detection (SP)
|
100% |
2187
173.5 IPS |
|
|
Object Detection (HP)
|
100% |
16292
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22512
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3700
44.0 IPS |
|
|
Face Detection (HP)
|
100% |
41152
489.0 IPS |
|
|
Face Detection (Q)
|
100% |
60688
721.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8062
62.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
94876
731.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
159793
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
24698
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
244281
314.0 IPS |
|
|
Style Transfer (Q)
|
96% |
301500
389.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5917
218.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52993
1.96 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85702
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3429
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4595
6.13 KIPS |
|
|
Text Classification (Q)
|
93% |
4846
6.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3837
66.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9079
156.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11319
195.6 IPS |
