iPhone 15 Pro
Geekbench AI Score
3904
Single Precision Score
6940
Half Precision Score
5671
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | July 25 2025 12:17 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1669
310.5 IPS |
|
|
Image Classification (HP)
|
100% |
2901
539.5 IPS |
|
|
Image Classification (Q)
|
96% |
2029
378.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1579
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2406
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3037
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7640
8.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
15637
18.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
13903
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1740
138.0 IPS |
|
|
Object Detection (HP)
|
97% |
3285
261.5 IPS |
|
|
Object Detection (Q)
|
94% |
2366
188.6 IPS |
|
|
Face Detection (SP)
|
100% |
3197
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
6720
79.8 IPS |
|
|
Face Detection (Q)
|
100% |
3816
45.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6829
52.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12747
98.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8907
69.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20979
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
33861
43.5 IPS |
|
|
Style Transfer (Q)
|
96% |
27583
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4748
175.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5922
218.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4370
161.4 IPS |
|
|
Text Classification (SP)
|
100% |
3330
4.44 KIPS |
|
|
Text Classification (HP)
|
99% |
5649
7.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5539
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3247
55.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7453
128.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7489
129.4 IPS |
