iPhone17,2
Geekbench AI Score
5687
Single Precision Score
6534
Half Precision Score
6109
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | aenewton |
| Upload Date | September 22 2024 06:14 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2709
503.8 IPS |
|
|
Image Classification (HP)
|
100% |
2079
386.6 IPS |
|
|
Image Classification (Q)
|
97% |
2645
493.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3326
53.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4444
72.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4381
71.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15519
18.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
16327
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15301
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
3285
260.6 IPS |
|
|
Object Detection (HP)
|
100% |
3480
276.0 IPS |
|
|
Object Detection (Q)
|
91% |
2826
225.8 IPS |
|
|
Face Detection (SP)
|
100% |
7791
92.6 IPS |
|
|
Face Detection (HP)
|
100% |
10825
128.6 IPS |
|
|
Face Detection (Q)
|
100% |
7685
91.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13801
106.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
15170
116.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
12348
96.5 IPS |
|
|
Style Transfer (SP)
|
100% |
31791
40.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37642
48.4 IPS |
|
|
Style Transfer (Q)
|
96% |
35582
45.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7927
292.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8312
306.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6733
248.6 IPS |
|
|
Text Classification (SP)
|
100% |
3448
4.60 KIPS |
|
|
Text Classification (HP)
|
100% |
5864
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5825
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
826
14.2 IPS |
|
|
Machine Translation (HP)
|
100% |
897
15.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1092
18.9 IPS |
