iPhone17,2
Geekbench AI Score
4323
Single Precision Score
7595
Half Precision Score
6111
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | December 03 2024 11:50 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1868
347.3 IPS |
|
|
Image Classification (HP)
|
100% |
3364
625.7 IPS |
|
|
Image Classification (Q)
|
96% |
2260
422.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1866
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2634
42.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3290
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8586
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
17883
20.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
15099
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2038
161.7 IPS |
|
|
Object Detection (HP)
|
97% |
3731
297.1 IPS |
|
|
Object Detection (Q)
|
94% |
2624
209.2 IPS |
|
|
Face Detection (SP)
|
100% |
3363
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
7167
85.2 IPS |
|
|
Face Detection (Q)
|
100% |
4113
48.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7573
58.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13994
108.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9698
75.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23543
30.3 IPS |
|
|
Style Transfer (HP)
|
100% |
36779
47.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30280
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5526
204.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6937
256.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4967
183.4 IPS |
|
|
Text Classification (SP)
|
100% |
3439
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
6088
8.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5939
7.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3281
56.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6942
119.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6921
119.6 IPS |
