iPhone 15 Pro
Geekbench AI Score
3809
Single Precision Score
24243
Half Precision Score
32203
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 03:58 AM |
| Views | 1 |
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% |
1643
305.5 IPS |
|
|
Image Classification (HP)
|
100% |
11304
2.10 KIPS |
|
|
Image Classification (Q)
|
97% |
15251
2.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1593
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
13001
210.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
16092
260.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7236
8.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
103348
120.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
204342
239.5 IPS |
|
|
Object Detection (SP)
|
100% |
1743
138.2 IPS |
|
|
Object Detection (HP)
|
100% |
13803
1.09 KIPS |
|
|
Object Detection (Q)
|
91% |
19058
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
3146
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
33713
400.6 IPS |
|
|
Face Detection (Q)
|
100% |
49377
586.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6833
52.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
78747
606.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
127178
994.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20045
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
203370
261.4 IPS |
|
|
Style Transfer (Q)
|
96% |
252467
325.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4626
170.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35958
1.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55354
2.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3196
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
2779
3.71 KIPS |
|
|
Text Classification (Q)
|
93% |
1953
2.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3060
52.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6200
106.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7324
126.6 IPS |
