iPhone 15 Pro
Geekbench AI Score
2628
Single Precision Score
14036
Half Precision Score
18104
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | MST36-JP |
| Upload Date | September 06 2024 02:55 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
1439
267.6 IPS |
|
|
Image Classification (HP)
|
100% |
6225
1.16 KIPS |
|
|
Image Classification (Q)
|
97% |
7807
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
774
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5221
84.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10143
164.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7069
8.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
85820
100.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
151835
178.0 IPS |
|
|
Object Detection (SP)
|
100% |
1393
110.5 IPS |
|
|
Object Detection (HP)
|
100% |
8123
644.3 IPS |
|
|
Object Detection (Q)
|
93% |
9992
797.3 IPS |
|
|
Face Detection (SP)
|
100% |
2222
26.4 IPS |
|
|
Face Detection (HP)
|
100% |
11403
135.5 IPS |
|
|
Face Detection (Q)
|
100% |
13272
157.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4438
34.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
42586
328.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
58322
456.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11923
15.3 IPS |
|
|
Style Transfer (HP)
|
100% |
128126
164.7 IPS |
|
|
Style Transfer (Q)
|
96% |
138124
178.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3748
138.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18450
681.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26027
961.0 IPS |
|
|
Text Classification (SP)
|
100% |
1733
2.31 KIPS |
|
|
Text Classification (HP)
|
71% |
4528
6.51 KIPS |
|
|
Text Classification (Q)
|
69% |
4492
6.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
1880
32.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2521
43.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2519
43.5 IPS |
