iPhone 15 Pro
Geekbench AI Score
3638
Single Precision Score
6539
Half Precision Score
5309
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 26 2025 08:47 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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 | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1515
281.8 IPS |
|
|
Image Classification (HP)
|
100% |
2911
541.4 IPS |
|
|
Image Classification (Q)
|
96% |
2023
377.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1523
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2375
38.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2980
48.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6957
8.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
14378
16.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12605
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1704
135.1 IPS |
|
|
Object Detection (HP)
|
97% |
3235
257.5 IPS |
|
|
Object Detection (Q)
|
94% |
2261
180.2 IPS |
|
|
Face Detection (SP)
|
100% |
3007
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
6371
75.7 IPS |
|
|
Face Detection (Q)
|
100% |
3605
42.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6349
48.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12719
98.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8553
66.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18499
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
29935
38.5 IPS |
|
|
Style Transfer (Q)
|
96% |
25224
32.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4272
157.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5560
205.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4115
152.0 IPS |
|
|
Text Classification (SP)
|
100% |
3220
4.30 KIPS |
|
|
Text Classification (HP)
|
100% |
5620
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5507
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3062
52.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5869
101.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5881
101.6 IPS |
