iPhone 15 Pro
Geekbench AI Score
3946
Single Precision Score
24135
Half Precision Score
33680
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 15 2024 11:07 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1720
319.9 IPS |
|
|
Image Classification (HP)
|
100% |
10814
2.01 KIPS |
|
|
Image Classification (Q)
|
97% |
15253
2.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1628
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12934
209.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
16063
260.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7935
9.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
106631
124.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
203285
238.3 IPS |
|
|
Object Detection (SP)
|
100% |
1762
139.8 IPS |
|
|
Object Detection (HP)
|
100% |
13509
1.07 KIPS |
|
|
Object Detection (Q)
|
91% |
19253
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
3201
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
33678
400.2 IPS |
|
|
Face Detection (Q)
|
100% |
49439
587.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7087
54.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
78354
603.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
126580
989.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20902
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
203151
261.2 IPS |
|
|
Style Transfer (Q)
|
96% |
247980
320.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4931
182.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34107
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56299
2.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3187
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
2972
3.97 KIPS |
|
|
Text Classification (Q)
|
93% |
3065
4.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3145
54.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6126
105.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7314
126.4 IPS |
