iPhone 15 Pro
Geekbench AI Score
3924
Single Precision Score
24742
Half Precision Score
34498
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 24 2024 11:55 AM |
| Views | 2 |
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% |
1677
311.9 IPS |
|
|
Image Classification (HP)
|
100% |
10713
1.99 KIPS |
|
|
Image Classification (Q)
|
97% |
14800
2.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1616
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
15841
256.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
20805
337.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7468
8.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
106127
123.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
203435
238.4 IPS |
|
|
Object Detection (SP)
|
100% |
1800
142.8 IPS |
|
|
Object Detection (HP)
|
100% |
14006
1.11 KIPS |
|
|
Object Detection (Q)
|
91% |
19103
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
3265
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
34739
412.8 IPS |
|
|
Face Detection (Q)
|
100% |
50844
604.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7101
54.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
78249
602.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
127880
999.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20801
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
203075
261.1 IPS |
|
|
Style Transfer (Q)
|
96% |
246629
318.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4927
181.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33992
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57526
2.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3189
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
2967
3.96 KIPS |
|
|
Text Classification (Q)
|
93% |
2987
4.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3136
54.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6124
105.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7241
125.1 IPS |
