iPhone 15 Pro
Geekbench AI Score
4139
Single Precision Score
24326
Half Precision Score
34180
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 04:43 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% |
1730
321.8 IPS |
|
|
Image Classification (HP)
|
100% |
11237
2.09 KIPS |
|
|
Image Classification (Q)
|
97% |
15512
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1743
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
12973
210.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
16125
261.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8516
9.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
107267
125.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
204436
239.6 IPS |
|
|
Object Detection (SP)
|
100% |
1841
146.1 IPS |
|
|
Object Detection (HP)
|
100% |
13881
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
19411
1.55 KIPS |
|
|
Face Detection (SP)
|
100% |
3309
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
34929
415.0 IPS |
|
|
Face Detection (Q)
|
100% |
49362
586.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7408
57.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
79136
609.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
129757
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
22646
29.1 IPS |
|
|
Style Transfer (HP)
|
100% |
205104
263.7 IPS |
|
|
Style Transfer (Q)
|
96% |
250141
322.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5245
193.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34595
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58490
2.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3236
4.32 KIPS |
|
|
Text Classification (HP)
|
100% |
2752
3.67 KIPS |
|
|
Text Classification (Q)
|
93% |
3045
4.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3315
57.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6196
106.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7685
132.8 IPS |
