iPhone17,2
Geekbench AI Score
4293
Single Precision Score
7441
Half Precision Score
5915
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | barcellos |
| Upload Date | October 02 2024 12:15 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1995
371.0 IPS |
|
|
Image Classification (HP)
|
100% |
3359
624.6 IPS |
|
|
Image Classification (Q)
|
96% |
2255
421.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1873
30.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2841
46.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3289
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8184
9.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
16978
19.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14387
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
1994
158.2 IPS |
|
|
Object Detection (HP)
|
97% |
3639
289.7 IPS |
|
|
Object Detection (Q)
|
94% |
2512
200.2 IPS |
|
|
Face Detection (SP)
|
100% |
3350
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
6915
82.2 IPS |
|
|
Face Detection (Q)
|
100% |
3889
46.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7080
54.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13182
101.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9155
71.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22222
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34770
44.7 IPS |
|
|
Style Transfer (Q)
|
96% |
28548
36.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5206
192.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6770
250.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4754
175.5 IPS |
|
|
Text Classification (SP)
|
100% |
3469
4.63 KIPS |
|
|
Text Classification (HP)
|
100% |
5959
7.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5820
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3667
63.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6909
119.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6957
120.2 IPS |
