iPhone 15 Pro
Geekbench AI Score
3896
Single Precision Score
6767
Half Precision Score
5526
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 08:22 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1674
311.4 IPS |
|
|
Image Classification (HP)
|
100% |
2937
546.2 IPS |
|
|
Image Classification (Q)
|
96% |
2007
374.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1614
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2383
38.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3082
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7667
8.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
15670
18.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13713
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
1756
139.3 IPS |
|
|
Object Detection (HP)
|
97% |
3310
263.5 IPS |
|
|
Object Detection (Q)
|
94% |
2313
184.4 IPS |
|
|
Face Detection (SP)
|
100% |
3229
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
6769
80.4 IPS |
|
|
Face Detection (Q)
|
100% |
3823
45.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6873
53.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
13272
102.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
9116
71.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20528
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
31840
40.9 IPS |
|
|
Style Transfer (Q)
|
96% |
26856
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4731
174.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5797
214.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4378
161.7 IPS |
|
|
Text Classification (SP)
|
100% |
3198
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5535
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5468
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3218
55.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6046
104.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6050
104.6 IPS |
