iPhone 15 Pro
Geekbench AI Score
3919
Single Precision Score
6955
Half Precision Score
5690
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 03 2025 12:08 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1651
307.0 IPS |
|
|
Image Classification (HP)
|
100% |
2984
555.0 IPS |
|
|
Image Classification (Q)
|
96% |
2035
380.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1613
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2348
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3053
49.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7858
9.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
16459
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14348
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
1775
140.8 IPS |
|
|
Object Detection (HP)
|
97% |
3315
263.9 IPS |
|
|
Object Detection (Q)
|
94% |
2363
188.3 IPS |
|
|
Face Detection (SP)
|
100% |
3176
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
6804
80.8 IPS |
|
|
Face Detection (Q)
|
100% |
3759
44.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6889
53.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12917
99.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
9020
70.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21174
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
34137
43.9 IPS |
|
|
Style Transfer (Q)
|
96% |
27890
36.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4762
175.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5739
211.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4439
163.9 IPS |
|
|
Text Classification (SP)
|
100% |
3247
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
5653
7.55 KIPS |
|
|
Text Classification (Q)
|
93% |
5630
7.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3219
55.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7127
123.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7149
123.5 IPS |
