iPhone 15 Pro
Geekbench AI Score
3793
Single Precision Score
6780
Half Precision Score
5569
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | June 12 2025 02:45 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
1664
309.5 IPS |
|
|
Image Classification (HP)
|
100% |
2941
547.0 IPS |
|
|
Image Classification (Q)
|
96% |
2027
378.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1581
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2341
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2999
48.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7133
8.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
15401
18.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13532
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
1714
136.0 IPS |
|
|
Object Detection (HP)
|
97% |
3266
260.0 IPS |
|
|
Object Detection (Q)
|
94% |
2334
186.0 IPS |
|
|
Face Detection (SP)
|
100% |
3103
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
6557
77.9 IPS |
|
|
Face Detection (Q)
|
100% |
3719
44.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6567
50.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12549
97.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8731
68.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20137
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32585
41.9 IPS |
|
|
Style Transfer (Q)
|
96% |
26626
34.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4574
168.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5657
208.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4363
161.1 IPS |
|
|
Text Classification (SP)
|
100% |
3175
4.24 KIPS |
|
|
Text Classification (HP)
|
100% |
5336
7.12 KIPS |
|
|
Text Classification (Q)
|
93% |
5377
7.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3220
55.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7330
126.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7372
127.4 IPS |
