iPhone 15 Pro
Geekbench AI Score
3916
Single Precision Score
6770
Half Precision Score
5895
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 24 2024 10:27 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1712
318.3 IPS |
|
|
Image Classification (HP)
|
100% |
2909
541.0 IPS |
|
|
Image Classification (Q)
|
99% |
2906
541.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1621
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2435
39.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
2381
38.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7792
9.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
16100
18.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
13926
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1781
141.3 IPS |
|
|
Object Detection (HP)
|
97% |
3335
265.5 IPS |
|
|
Object Detection (Q)
|
94% |
2335
186.1 IPS |
|
|
Face Detection (SP)
|
100% |
3251
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
6731
80.0 IPS |
|
|
Face Detection (Q)
|
100% |
3834
45.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7025
54.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
13467
104.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
13573
105.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20664
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32046
41.2 IPS |
|
|
Style Transfer (Q)
|
100% |
31900
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4800
177.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5743
212.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4294
159.1 IPS |
|
|
Text Classification (SP)
|
100% |
3103
4.14 KIPS |
|
|
Text Classification (HP)
|
100% |
5267
7.03 KIPS |
|
|
Text Classification (Q)
|
93% |
5215
7.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3133
54.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6060
104.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6062
104.8 IPS |
