iPhone 15 Pro
Geekbench AI Score
3991
Single Precision Score
6878
Half Precision Score
5631
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Mer2460 |
| Upload Date | January 25 2025 06:42 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1695
315.2 IPS |
|
|
Image Classification (HP)
|
100% |
2937
546.2 IPS |
|
|
Image Classification (Q)
|
96% |
2026
378.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1612
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2400
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3100
50.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8308
9.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
16803
19.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14577
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
1814
143.9 IPS |
|
|
Object Detection (HP)
|
97% |
3375
268.7 IPS |
|
|
Object Detection (Q)
|
94% |
2363
188.3 IPS |
|
|
Face Detection (SP)
|
100% |
3235
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
6855
81.4 IPS |
|
|
Face Detection (Q)
|
100% |
3917
46.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7119
54.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
13593
105.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
9364
73.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21484
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32559
41.9 IPS |
|
|
Style Transfer (Q)
|
96% |
27386
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4985
184.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5744
212.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4371
161.4 IPS |
|
|
Text Classification (SP)
|
100% |
3218
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
5588
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5540
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3144
54.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6091
105.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6091
105.3 IPS |
