iPhone 15 Pro
Geekbench AI Score
3846
Single Precision Score
24272
Half Precision Score
33179
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 02 2024 08:16 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1652
307.2 IPS |
|
|
Image Classification (HP)
|
100% |
11026
2.05 KIPS |
|
|
Image Classification (Q)
|
97% |
15248
2.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1595
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15800
256.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
20879
338.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7351
8.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
102763
119.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
203612
238.6 IPS |
|
|
Object Detection (SP)
|
100% |
1765
140.0 IPS |
|
|
Object Detection (HP)
|
100% |
13935
1.11 KIPS |
|
|
Object Detection (Q)
|
91% |
19209
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
3177
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
35935
427.0 IPS |
|
|
Face Detection (Q)
|
100% |
50738
602.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6766
52.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
78256
602.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
127096
993.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20313
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
201346
258.8 IPS |
|
|
Style Transfer (Q)
|
96% |
249275
321.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4765
175.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33835
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57603
2.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3196
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
2444
3.26 KIPS |
|
|
Text Classification (Q)
|
93% |
1832
2.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3122
53.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6076
104.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7654
132.3 IPS |
