iPhone 15 Pro
Geekbench AI Score
5027
Single Precision Score
5860
Half Precision Score
5727
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 19 2025 02:51 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1948
362.2 IPS |
|
|
Image Classification (HP)
|
100% |
1728
321.4 IPS |
|
|
Image Classification (Q)
|
96% |
2043
381.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3761
61.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4202
68.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4061
65.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13119
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
15012
17.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
14554
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2327
184.6 IPS |
|
|
Object Detection (HP)
|
100% |
2672
212.0 IPS |
|
|
Object Detection (Q)
|
92% |
2515
200.8 IPS |
|
|
Face Detection (SP)
|
100% |
6495
77.2 IPS |
|
|
Face Detection (HP)
|
100% |
8751
104.0 IPS |
|
|
Face Detection (Q)
|
100% |
6971
82.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10835
83.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
12314
94.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
11432
89.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27709
35.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32663
42.0 IPS |
|
|
Style Transfer (Q)
|
96% |
33272
42.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5758
212.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6060
223.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5537
204.4 IPS |
|
|
Text Classification (SP)
|
100% |
3231
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5583
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5683
7.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
1271
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1378
23.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1500
25.9 IPS |
