iPhone 15 Pro
Geekbench AI Score
3950
Single Precision Score
24989
Half Precision Score
33398
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 28 2024 09:54 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% |
1710
318.1 IPS |
|
|
Image Classification (HP)
|
100% |
11814
2.20 KIPS |
|
|
Image Classification (Q)
|
97% |
15534
2.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1619
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
15744
255.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
21099
342.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7969
9.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
106109
123.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
204701
239.9 IPS |
|
|
Object Detection (SP)
|
100% |
1802
143.0 IPS |
|
|
Object Detection (HP)
|
100% |
13882
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
18887
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
3223
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
35252
418.9 IPS |
|
|
Face Detection (Q)
|
100% |
50847
604.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6955
53.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
78649
605.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
128139
1.00 KIPS |
|
|
Style Transfer (SP)
|
100% |
21271
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
203459
261.5 IPS |
|
|
Style Transfer (Q)
|
96% |
250268
323.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4904
181.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34224
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56201
2.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3186
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
2896
3.87 KIPS |
|
|
Text Classification (Q)
|
93% |
2007
2.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
3128
53.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6201
106.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7410
128.0 IPS |
