iPhone 15 Pro
Geekbench AI Score
3805
Single Precision Score
6906
Half Precision Score
5665
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 22 2025 12:22 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1584
294.5 IPS |
|
|
Image Classification (HP)
|
100% |
2926
544.2 IPS |
|
|
Image Classification (Q)
|
96% |
2038
380.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1548
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2335
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3035
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7391
8.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
16422
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14328
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
1676
132.9 IPS |
|
|
Object Detection (HP)
|
97% |
3287
261.7 IPS |
|
|
Object Detection (Q)
|
94% |
2353
187.5 IPS |
|
|
Face Detection (SP)
|
100% |
3110
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
6781
80.6 IPS |
|
|
Face Detection (Q)
|
100% |
3857
45.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6707
51.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
12689
98.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8990
70.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20940
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
33492
43.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27178
35.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4611
170.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5674
209.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4395
162.3 IPS |
|
|
Text Classification (SP)
|
100% |
3240
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5534
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5368
7.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3212
55.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7402
127.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7352
127.0 IPS |
