iPhone 15 Pro
Geekbench AI Score
3838
Single Precision Score
6932
Half Precision Score
5709
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 07 2025 03:29 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1558
289.8 IPS |
|
|
Image Classification (HP)
|
100% |
2904
540.0 IPS |
|
|
Image Classification (Q)
|
96% |
2028
378.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1570
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2331
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3024
49.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7623
8.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
16874
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14621
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
1673
132.7 IPS |
|
|
Object Detection (HP)
|
97% |
3273
260.6 IPS |
|
|
Object Detection (Q)
|
94% |
2360
188.1 IPS |
|
|
Face Detection (SP)
|
100% |
3123
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
6797
80.8 IPS |
|
|
Face Detection (Q)
|
100% |
3869
46.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6819
52.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12724
98.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8963
70.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21358
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
33207
42.7 IPS |
|
|
Style Transfer (Q)
|
96% |
27809
35.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4707
173.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5696
210.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4398
162.4 IPS |
|
|
Text Classification (SP)
|
100% |
3271
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
5516
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5433
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3180
54.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7599
131.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7547
130.4 IPS |
