iPhone 15 Pro
Geekbench AI Score
3714
Single Precision Score
6760
Half Precision Score
5418
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 21 2024 01:10 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1607
298.9 IPS |
|
|
Image Classification (HP)
|
100% |
2948
548.2 IPS |
|
|
Image Classification (Q)
|
96% |
2024
378.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1649
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2522
40.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3010
48.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7042
8.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
14707
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
13019
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1701
135.0 IPS |
|
|
Object Detection (HP)
|
97% |
3273
260.5 IPS |
|
|
Object Detection (Q)
|
94% |
2278
181.6 IPS |
|
|
Face Detection (SP)
|
100% |
3045
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
6626
78.7 IPS |
|
|
Face Detection (Q)
|
100% |
3690
43.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6371
49.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12793
98.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8692
67.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19093
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
31589
40.6 IPS |
|
|
Style Transfer (Q)
|
96% |
26371
34.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4344
160.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5996
221.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4267
157.5 IPS |
|
|
Text Classification (SP)
|
100% |
3143
4.19 KIPS |
|
|
Text Classification (HP)
|
100% |
5714
7.63 KIPS |
|
|
Text Classification (Q)
|
93% |
5676
7.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3113
53.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6076
105.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5895
101.9 IPS |
