iPhone17,2
Geekbench AI Score
5832
Single Precision Score
6825
Half Precision Score
5979
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | SRLMJ23 |
| Upload Date | November 03 2024 02:31 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3051
567.4 IPS |
|
|
Image Classification (HP)
|
100% |
2969
552.1 IPS |
|
|
Image Classification (Q)
|
97% |
2944
549.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3431
55.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4485
72.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4450
72.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15722
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16368
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15555
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
3353
266.0 IPS |
|
|
Object Detection (HP)
|
100% |
3760
298.3 IPS |
|
|
Object Detection (Q)
|
91% |
2876
229.8 IPS |
|
|
Face Detection (SP)
|
100% |
7705
91.5 IPS |
|
|
Face Detection (HP)
|
100% |
10876
129.2 IPS |
|
|
Face Detection (Q)
|
100% |
7232
85.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13756
106.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
14545
112.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
12143
94.9 IPS |
|
|
Style Transfer (SP)
|
100% |
33347
42.9 IPS |
|
|
Style Transfer (HP)
|
100% |
39734
51.1 IPS |
|
|
Style Transfer (Q)
|
96% |
36338
46.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8052
297.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8491
313.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6855
253.1 IPS |
|
|
Text Classification (SP)
|
100% |
3434
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5858
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5861
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
845
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
857
14.8 IPS |
|
|
Machine Translation (Q)
|
98% |
778
13.4 IPS |
