iPhone 15 Pro
Geekbench AI Score
2741
Single Precision Score
14003
Half Precision Score
17810
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 16 2024 11:47 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1400
260.3 IPS |
|
|
Image Classification (HP)
|
100% |
6170
1.15 KIPS |
|
|
Image Classification (Q)
|
97% |
7491
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
792
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5212
84.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9832
159.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7460
8.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
87856
102.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
150801
176.7 IPS |
|
|
Object Detection (SP)
|
100% |
1484
117.7 IPS |
|
|
Object Detection (HP)
|
100% |
8176
648.5 IPS |
|
|
Object Detection (Q)
|
93% |
9965
795.1 IPS |
|
|
Face Detection (SP)
|
100% |
2308
27.4 IPS |
|
|
Face Detection (HP)
|
100% |
11185
132.9 IPS |
|
|
Face Detection (Q)
|
100% |
13242
157.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4731
36.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
42306
325.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
58220
455.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12526
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
128065
164.6 IPS |
|
|
Style Transfer (Q)
|
96% |
137672
177.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4129
152.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18146
670.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25864
955.1 IPS |
|
|
Text Classification (SP)
|
100% |
1816
2.42 KIPS |
|
|
Text Classification (HP)
|
71% |
4498
6.47 KIPS |
|
|
Text Classification (Q)
|
69% |
4272
6.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1903
32.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2538
43.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2474
42.8 IPS |
