iPhone 15 Pro
Geekbench AI Score
4014
Single Precision Score
7054
Half Precision Score
5746
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 28 2025 09:46 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1714
318.8 IPS |
|
|
Image Classification (HP)
|
100% |
2990
556.1 IPS |
|
|
Image Classification (Q)
|
96% |
2042
381.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1620
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2394
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3033
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8292
9.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
17194
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14836
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
1781
141.3 IPS |
|
|
Object Detection (HP)
|
97% |
3350
266.7 IPS |
|
|
Object Detection (Q)
|
94% |
2382
189.9 IPS |
|
|
Face Detection (SP)
|
100% |
3232
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
6844
81.3 IPS |
|
|
Face Detection (Q)
|
100% |
3867
45.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7109
54.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12961
100.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
9044
70.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21854
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
34801
44.7 IPS |
|
|
Style Transfer (Q)
|
96% |
28281
36.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4998
184.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5785
213.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4469
165.0 IPS |
|
|
Text Classification (SP)
|
100% |
3293
4.39 KIPS |
|
|
Text Classification (HP)
|
100% |
5906
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5771
7.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
3205
55.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7016
121.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7034
121.5 IPS |
