iPhone 15 Pro
Geekbench AI Score
5014
Single Precision Score
5779
Half Precision Score
5268
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 18 2024 10:47 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1880
349.6 IPS |
|
|
Image Classification (HP)
|
100% |
1628
302.8 IPS |
|
|
Image Classification (Q)
|
97% |
1782
332.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3148
51.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3957
64.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4000
64.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15093
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
15865
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14757
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
2460
195.1 IPS |
|
|
Object Detection (HP)
|
100% |
2764
219.2 IPS |
|
|
Object Detection (Q)
|
91% |
2389
190.9 IPS |
|
|
Face Detection (SP)
|
100% |
6800
80.8 IPS |
|
|
Face Detection (HP)
|
100% |
9161
108.9 IPS |
|
|
Face Detection (Q)
|
100% |
6604
78.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11391
87.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
12840
98.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
10399
81.3 IPS |
|
|
Style Transfer (SP)
|
100% |
29724
38.2 IPS |
|
|
Style Transfer (HP)
|
100% |
34715
44.6 IPS |
|
|
Style Transfer (Q)
|
96% |
33646
43.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6660
245.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6685
246.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5401
199.4 IPS |
|
|
Text Classification (SP)
|
100% |
3235
4.32 KIPS |
|
|
Text Classification (HP)
|
100% |
5500
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5466
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
923
15.9 IPS |
|
|
Machine Translation (HP)
|
100% |
980
16.9 IPS |
|
|
Machine Translation (Q)
|
98% |
962
16.6 IPS |
