iPhone 15 Pro
Geekbench AI Score
3889
Single Precision Score
23253
Half Precision Score
30624
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 18 2024 10:48 AM |
| Views | 3 |
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% |
1645
306.0 IPS |
|
|
Image Classification (HP)
|
100% |
11703
2.18 KIPS |
|
|
Image Classification (Q)
|
97% |
14799
2.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1603
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
12945
209.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
16017
259.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7379
8.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
105777
123.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
203456
238.5 IPS |
|
|
Object Detection (SP)
|
100% |
1788
141.8 IPS |
|
|
Object Detection (HP)
|
100% |
13841
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
19124
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
3231
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
33634
399.6 IPS |
|
|
Face Detection (Q)
|
100% |
49426
587.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7056
54.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
78460
604.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
129643
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
20676
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
138741
178.4 IPS |
|
|
Style Transfer (Q)
|
96% |
166007
214.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4849
179.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34165
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57044
2.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3186
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
2634
3.52 KIPS |
|
|
Text Classification (Q)
|
93% |
1717
2.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3131
53.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6326
109.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7550
130.5 IPS |
