iPhone 15 Pro
Geekbench AI Score
3998
Single Precision Score
25038
Half Precision Score
34727
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 01:09 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% |
1697
315.6 IPS |
|
|
Image Classification (HP)
|
100% |
11385
2.12 KIPS |
|
|
Image Classification (Q)
|
97% |
14998
2.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1645
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
15553
252.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
20922
339.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8099
9.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
106840
124.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
203865
238.9 IPS |
|
|
Object Detection (SP)
|
100% |
1823
144.6 IPS |
|
|
Object Detection (HP)
|
100% |
13681
1.09 KIPS |
|
|
Object Detection (Q)
|
91% |
18810
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
3216
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
34978
415.6 IPS |
|
|
Face Detection (Q)
|
100% |
50311
597.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7153
55.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
78420
604.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
126695
990.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21595
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
202646
260.5 IPS |
|
|
Style Transfer (Q)
|
96% |
249688
322.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5077
187.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34386
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58385
2.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3197
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
3052
4.07 KIPS |
|
|
Text Classification (Q)
|
93% |
3120
4.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3142
54.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6415
110.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7313
126.4 IPS |
