iPhone 15 Pro
Geekbench AI Score
4933
Single Precision Score
5914
Half Precision Score
5297
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 06:44 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2256
419.6 IPS |
|
|
Image Classification (HP)
|
100% |
2360
438.9 IPS |
|
|
Image Classification (Q)
|
97% |
2088
389.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2691
43.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3769
61.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3788
61.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13290
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
14246
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13428
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
2467
195.7 IPS |
|
|
Object Detection (HP)
|
100% |
2686
213.1 IPS |
|
|
Object Detection (Q)
|
91% |
2304
184.1 IPS |
|
|
Face Detection (SP)
|
100% |
6176
73.4 IPS |
|
|
Face Detection (HP)
|
100% |
8294
98.5 IPS |
|
|
Face Detection (Q)
|
100% |
5911
70.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10630
81.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
11634
89.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
10265
80.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27438
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33142
42.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31153
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6013
222.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6258
231.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5094
188.1 IPS |
|
|
Text Classification (SP)
|
100% |
3204
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
5567
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5528
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1237
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1382
23.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1337
23.1 IPS |
