iPhone 15 Pro
Geekbench AI Score
2714
Single Precision Score
13704
Half Precision Score
15762
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | ivtecdaily |
| Upload Date | August 17 2024 11:27 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1485
276.1 IPS |
|
|
Image Classification (HP)
|
100% |
6236
1.16 KIPS |
|
|
Image Classification (Q)
|
99% |
7065
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
817
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5209
84.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
5197
84.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7652
8.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
89195
104.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
131421
154.1 IPS |
|
|
Object Detection (SP)
|
100% |
1443
114.5 IPS |
|
|
Object Detection (HP)
|
100% |
7920
628.2 IPS |
|
|
Object Detection (Q)
|
93% |
9689
773.1 IPS |
|
|
Face Detection (SP)
|
100% |
2234
26.5 IPS |
|
|
Face Detection (HP)
|
100% |
11193
133.0 IPS |
|
|
Face Detection (Q)
|
100% |
12740
151.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4620
35.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
42540
327.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
50821
393.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12080
15.5 IPS |
|
|
Style Transfer (HP)
|
100% |
128387
165.0 IPS |
|
|
Style Transfer (Q)
|
100% |
128439
165.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3836
141.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18042
666.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
26183
970.0 IPS |
|
|
Text Classification (SP)
|
100% |
1782
2.38 KIPS |
|
|
Text Classification (HP)
|
71% |
4090
5.88 KIPS |
|
|
Text Classification (Q)
|
69% |
3910
5.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
1904
32.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2258
38.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2379
41.1 IPS |
