iPhone 15 Pro
Geekbench AI Score
3976
Single Precision Score
6845
Half Precision Score
5634
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 30 2024 11:28 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1721
320.0 IPS |
|
|
Image Classification (HP)
|
100% |
2904
540.1 IPS |
|
|
Image Classification (Q)
|
96% |
2017
376.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1629
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2397
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3103
50.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8084
9.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
16362
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14327
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
1811
143.7 IPS |
|
|
Object Detection (HP)
|
97% |
3367
268.0 IPS |
|
|
Object Detection (Q)
|
94% |
2362
188.3 IPS |
|
|
Face Detection (SP)
|
100% |
3265
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
6859
81.5 IPS |
|
|
Face Detection (Q)
|
100% |
3908
46.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7084
54.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
13622
105.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9406
73.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21094
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32522
41.8 IPS |
|
|
Style Transfer (Q)
|
96% |
27582
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4895
180.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5796
214.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4377
161.6 IPS |
|
|
Text Classification (SP)
|
100% |
3200
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5508
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5549
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3149
54.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6073
104.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6184
106.9 IPS |
