iPhone17,2
Geekbench AI Score
4492
Single Precision Score
7644
Half Precision Score
6148
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 20 2024 12:15 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPhone17,2 |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2008
373.4 IPS |
|
|
Image Classification (HP)
|
100% |
3344
622.0 IPS |
|
|
Image Classification (Q)
|
96% |
2264
422.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1947
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2909
47.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3360
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8632
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17798
20.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15400
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2135
169.4 IPS |
|
|
Object Detection (HP)
|
97% |
3786
301.4 IPS |
|
|
Object Detection (Q)
|
94% |
2661
212.1 IPS |
|
|
Face Detection (SP)
|
100% |
3607
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
7415
88.1 IPS |
|
|
Face Detection (Q)
|
100% |
4176
49.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7755
59.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14150
109.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9894
77.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23951
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
36488
46.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30664
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5482
202.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6808
251.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4850
179.1 IPS |
|
|
Text Classification (SP)
|
100% |
3356
4.48 KIPS |
|
|
Text Classification (HP)
|
100% |
5717
7.63 KIPS |
|
|
Text Classification (Q)
|
93% |
5770
7.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
3773
65.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6978
120.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6990
120.8 IPS |
