iPhone 15 Pro
Geekbench AI Score
3940
Single Precision Score
24485
Half Precision Score
34318
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 03 2025 08:10 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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
315.9 IPS |
|
|
Image Classification (HP)
|
100% |
11596
2.16 KIPS |
|
|
Image Classification (Q)
|
97% |
15317
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1613
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
15609
253.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
20513
332.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7960
9.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
106215
123.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
203858
238.9 IPS |
|
|
Object Detection (SP)
|
100% |
1797
142.5 IPS |
|
|
Object Detection (HP)
|
100% |
13768
1.09 KIPS |
|
|
Object Detection (Q)
|
91% |
19004
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
3166
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
34496
409.9 IPS |
|
|
Face Detection (Q)
|
100% |
50638
601.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6970
53.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
78731
606.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
130418
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
20665
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
202338
260.1 IPS |
|
|
Style Transfer (Q)
|
96% |
252382
325.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4879
180.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33664
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
60712
2.24 KIPS |
|
|
Text Classification (SP)
|
100% |
3194
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
2640
3.52 KIPS |
|
|
Text Classification (Q)
|
93% |
2447
3.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3245
55.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5993
103.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7519
129.9 IPS |
