iPhone 15 Pro
Geekbench AI Score
4949
Single Precision Score
5738
Half Precision Score
4371
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 24 2024 10:29 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1777
330.4 IPS |
|
|
Image Classification (HP)
|
100% |
1685
313.4 IPS |
|
|
Image Classification (Q)
|
99% |
1877
350.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3173
51.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3956
64.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
3958
64.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15051
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
15793
18.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
14552
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2478
196.5 IPS |
|
|
Object Detection (HP)
|
100% |
2750
218.2 IPS |
|
|
Object Detection (Q)
|
91% |
2209
176.5 IPS |
|
|
Face Detection (SP)
|
100% |
6779
80.6 IPS |
|
|
Face Detection (HP)
|
100% |
9363
111.3 IPS |
|
|
Face Detection (Q)
|
100% |
6648
79.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12069
93.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
13152
101.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
1832
14.2 IPS |
|
|
Style Transfer (SP)
|
100% |
29056
37.4 IPS |
|
|
Style Transfer (HP)
|
100% |
34316
44.1 IPS |
|
|
Style Transfer (Q)
|
100% |
34271
44.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6126
226.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6436
237.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5139
190.4 IPS |
|
|
Text Classification (SP)
|
100% |
3123
4.17 KIPS |
|
|
Text Classification (HP)
|
100% |
5261
7.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5278
7.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
922
15.9 IPS |
|
|
Machine Translation (HP)
|
100% |
935
16.1 IPS |
|
|
Machine Translation (Q)
|
98% |
942
16.3 IPS |
