iPhone17,2
Geekbench AI Score
4403
Single Precision Score
7627
Half Precision Score
6126
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | gundar |
| Upload Date | September 22 2024 06:57 PM |
| Views | 6 |
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% |
1947
362.0 IPS |
|
|
Image Classification (HP)
|
100% |
3379
628.4 IPS |
|
|
Image Classification (Q)
|
96% |
2270
423.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1888
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2919
47.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3345
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8487
9.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
17971
21.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15307
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
2071
164.3 IPS |
|
|
Object Detection (HP)
|
97% |
3690
293.7 IPS |
|
|
Object Detection (Q)
|
94% |
2630
209.7 IPS |
|
|
Face Detection (SP)
|
100% |
3458
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
7157
85.0 IPS |
|
|
Face Detection (Q)
|
100% |
4097
48.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7599
58.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13816
106.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9590
74.9 IPS |
|
|
Style Transfer (SP)
|
100% |
23171
29.8 IPS |
|
|
Style Transfer (HP)
|
100% |
36204
46.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30077
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5538
204.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6896
254.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4883
180.3 IPS |
|
|
Text Classification (SP)
|
100% |
3428
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5928
7.91 KIPS |
|
|
Text Classification (Q)
|
93% |
6030
8.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3670
63.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6963
120.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7005
121.1 IPS |
