iPhone 15 Pro
Geekbench AI Score
3826
Single Precision Score
6737
Half Precision Score
5483
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 17 2025 08:57 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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 | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1679
312.2 IPS |
|
|
Image Classification (HP)
|
100% |
2913
541.8 IPS |
|
|
Image Classification (Q)
|
96% |
2014
376.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1626
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2443
39.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3081
49.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7449
8.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
15392
18.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13439
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
1739
137.9 IPS |
|
|
Object Detection (HP)
|
97% |
3306
263.2 IPS |
|
|
Object Detection (Q)
|
94% |
2339
186.4 IPS |
|
|
Face Detection (SP)
|
100% |
3165
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
6760
80.3 IPS |
|
|
Face Detection (Q)
|
100% |
3796
45.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6754
52.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
13277
102.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8958
70.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20152
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
31696
40.7 IPS |
|
|
Style Transfer (Q)
|
96% |
26665
34.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4496
166.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5886
217.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4330
159.9 IPS |
|
|
Text Classification (SP)
|
100% |
3082
4.11 KIPS |
|
|
Text Classification (HP)
|
100% |
5339
7.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5320
7.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3187
54.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5952
102.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6030
104.2 IPS |
