iPhone 15 Pro
Geekbench AI Score
3871
Single Precision Score
25224
Half Precision Score
35501
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 01:44 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1664
309.4 IPS |
|
|
Image Classification (HP)
|
100% |
11106
2.07 KIPS |
|
|
Image Classification (Q)
|
97% |
15465
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1608
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
15711
254.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
20919
339.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7506
8.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
104498
121.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
203454
238.5 IPS |
|
|
Object Detection (SP)
|
100% |
1755
139.2 IPS |
|
|
Object Detection (HP)
|
100% |
13720
1.09 KIPS |
|
|
Object Detection (Q)
|
91% |
19130
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
3223
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
34553
410.6 IPS |
|
|
Face Detection (Q)
|
100% |
51410
610.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6849
52.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
78767
606.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
127495
996.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20148
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
202464
260.3 IPS |
|
|
Style Transfer (Q)
|
96% |
249014
321.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4735
174.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34228
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
62623
2.31 KIPS |
|
|
Text Classification (SP)
|
100% |
3178
4.24 KIPS |
|
|
Text Classification (HP)
|
100% |
3219
4.30 KIPS |
|
|
Text Classification (Q)
|
93% |
3236
4.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3209
55.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6866
118.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7636
132.0 IPS |
