iPhone 15 Pro
Geekbench AI Score
4008
Single Precision Score
25002
Half Precision Score
34275
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 13 2024 11:45 AM |
| Views | 1 |
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% |
1698
315.8 IPS |
|
|
Image Classification (HP)
|
100% |
10884
2.02 KIPS |
|
|
Image Classification (Q)
|
97% |
14777
2.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1629
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
15618
253.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
20416
331.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8781
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
107129
125.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
202150
236.9 IPS |
|
|
Object Detection (SP)
|
100% |
1800
142.7 IPS |
|
|
Object Detection (HP)
|
100% |
13489
1.07 KIPS |
|
|
Object Detection (Q)
|
91% |
18154
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
3020
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
34361
408.3 IPS |
|
|
Face Detection (Q)
|
100% |
49909
593.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7153
55.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
77650
598.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
126676
990.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22267
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
205209
263.8 IPS |
|
|
Style Transfer (Q)
|
96% |
245310
316.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5248
193.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35297
1.30 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57891
2.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3202
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
3197
4.27 KIPS |
|
|
Text Classification (Q)
|
93% |
3129
4.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3032
52.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6290
108.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7194
124.3 IPS |
