iPhone 15 Pro
Geekbench AI Score
5002
Single Precision Score
5961
Half Precision Score
4508
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | i0ntempest |
| Upload Date | August 16 2024 10:52 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPhone 15 Pro |
| Model ID | iPhone16,1 |
| Motherboard | D83AP |
| CPU Information | |
|---|---|
| Name | Apple A17 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2126
395.4 IPS |
|
|
Image Classification (HP)
|
100% |
2238
416.3 IPS |
|
|
Image Classification (Q)
|
99% |
2217
413.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3078
49.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3984
64.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
3991
64.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15185
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
15917
18.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
14487
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2518
199.8 IPS |
|
|
Object Detection (HP)
|
100% |
2819
223.6 IPS |
|
|
Object Detection (Q)
|
91% |
2391
191.0 IPS |
|
|
Face Detection (SP)
|
100% |
6416
76.2 IPS |
|
|
Face Detection (HP)
|
100% |
8905
105.8 IPS |
|
|
Face Detection (Q)
|
100% |
6346
75.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11595
89.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
13007
100.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
1843
14.2 IPS |
|
|
Style Transfer (SP)
|
100% |
29325
37.7 IPS |
|
|
Style Transfer (HP)
|
100% |
34760
44.7 IPS |
|
|
Style Transfer (Q)
|
100% |
35415
45.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6422
237.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6750
249.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5258
194.8 IPS |
|
|
Text Classification (SP)
|
100% |
3170
4.23 KIPS |
|
|
Text Classification (HP)
|
100% |
5472
7.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5478
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
884
15.2 IPS |
|
|
Machine Translation (HP)
|
100% |
953
16.4 IPS |
|
|
Machine Translation (Q)
|
98% |
950
16.4 IPS |
