iPhone 15 Pro
Geekbench AI Score
3911
Single Precision Score
24435
Half Precision Score
33950
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 01:06 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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 | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1720
319.8 IPS |
|
|
Image Classification (HP)
|
100% |
10812
2.01 KIPS |
|
|
Image Classification (Q)
|
97% |
15475
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1626
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
13065
211.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
16033
259.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7763
9.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
104820
122.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
203152
238.1 IPS |
|
|
Object Detection (SP)
|
100% |
1767
140.2 IPS |
|
|
Object Detection (HP)
|
100% |
13621
1.08 KIPS |
|
|
Object Detection (Q)
|
91% |
19082
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
3220
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
33836
402.0 IPS |
|
|
Face Detection (Q)
|
100% |
49377
586.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6926
53.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
78501
604.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
128293
1.00 KIPS |
|
|
Style Transfer (SP)
|
100% |
20258
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
201040
258.4 IPS |
|
|
Style Transfer (Q)
|
96% |
247756
319.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4737
174.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34342
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55870
2.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3195
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
3265
4.36 KIPS |
|
|
Text Classification (Q)
|
93% |
3244
4.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3198
55.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6286
108.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7437
128.5 IPS |
