iPhone 15 Pro
Geekbench AI Score
3953
Single Precision Score
25215
Half Precision Score
35255
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 22 2024 12:11 PM |
| Views | 8 |
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% |
1693
314.8 IPS |
|
|
Image Classification (HP)
|
100% |
11470
2.13 KIPS |
|
|
Image Classification (Q)
|
97% |
15155
2.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1624
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
15854
257.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
20903
338.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7785
9.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
105981
123.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
203488
238.5 IPS |
|
|
Object Detection (SP)
|
100% |
1810
143.6 IPS |
|
|
Object Detection (HP)
|
100% |
13692
1.09 KIPS |
|
|
Object Detection (Q)
|
91% |
19182
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
3274
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
34672
412.0 IPS |
|
|
Face Detection (Q)
|
100% |
50519
600.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7156
55.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
79468
612.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
128889
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
20780
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
201420
258.9 IPS |
|
|
Style Transfer (Q)
|
96% |
250919
323.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4919
181.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34688
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58976
2.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3201
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
3292
4.39 KIPS |
|
|
Text Classification (Q)
|
93% |
3334
4.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3144
54.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6213
107.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7468
129.1 IPS |
