iPhone17,2
Geekbench AI Score
5773
Single Precision Score
6810
Half Precision Score
5974
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 18 2024 06:30 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPhone17,2 |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.03 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2807
522.1 IPS |
|
|
Image Classification (HP)
|
100% |
2871
533.9 IPS |
|
|
Image Classification (Q)
|
97% |
2764
515.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3361
54.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4445
72.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4429
71.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15756
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16501
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15559
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
3393
269.2 IPS |
|
|
Object Detection (HP)
|
100% |
3530
280.0 IPS |
|
|
Object Detection (Q)
|
91% |
2994
239.3 IPS |
|
|
Face Detection (SP)
|
100% |
7771
92.3 IPS |
|
|
Face Detection (HP)
|
100% |
10750
127.7 IPS |
|
|
Face Detection (Q)
|
100% |
7168
85.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13290
102.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
14356
110.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
11973
93.6 IPS |
|
|
Style Transfer (SP)
|
100% |
32941
42.3 IPS |
|
|
Style Transfer (HP)
|
100% |
39407
50.7 IPS |
|
|
Style Transfer (Q)
|
96% |
35347
45.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8077
298.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8504
314.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6804
251.3 IPS |
|
|
Text Classification (SP)
|
100% |
3451
4.61 KIPS |
|
|
Text Classification (HP)
|
100% |
5951
7.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5952
7.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
861
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
938
16.2 IPS |
|
|
Machine Translation (Q)
|
98% |
827
14.3 IPS |
