iPhone17,2
Geekbench AI Score
4397
Single Precision Score
7533
Half Precision Score
6053
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | gastaro |
| Upload Date | September 28 2024 11:59 AM |
| Views | 15 |
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% |
1984
369.0 IPS |
|
|
Image Classification (HP)
|
100% |
3371
626.8 IPS |
|
|
Image Classification (Q)
|
96% |
2269
423.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1940
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2893
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3358
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8651
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17692
20.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15315
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
2096
166.3 IPS |
|
|
Object Detection (HP)
|
97% |
3695
294.2 IPS |
|
|
Object Detection (Q)
|
94% |
2597
207.0 IPS |
|
|
Face Detection (SP)
|
100% |
3444
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
7118
84.6 IPS |
|
|
Face Detection (Q)
|
100% |
4031
47.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7175
55.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13374
103.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9408
73.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22957
29.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35999
46.3 IPS |
|
|
Style Transfer (Q)
|
96% |
29583
38.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5400
199.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6816
251.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4845
178.9 IPS |
|
|
Text Classification (SP)
|
100% |
3413
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5746
7.67 KIPS |
|
|
Text Classification (Q)
|
93% |
5890
7.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3708
63.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6881
118.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6812
117.7 IPS |
