iPhone17,2
Geekbench AI Score
4456
Single Precision Score
32473
Half Precision Score
45262
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | gastaro |
| Upload Date | September 28 2024 12:11 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1954
363.4 IPS |
|
|
Image Classification (HP)
|
100% |
15674
2.91 KIPS |
|
|
Image Classification (Q)
|
97% |
20932
3.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1924
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
14631
237.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
18226
295.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8660
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
154354
180.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
293933
344.5 IPS |
|
|
Object Detection (SP)
|
100% |
2147
170.3 IPS |
|
|
Object Detection (HP)
|
100% |
16642
1.32 KIPS |
|
|
Object Detection (Q)
|
91% |
22630
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3559
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
40722
483.9 IPS |
|
|
Face Detection (Q)
|
100% |
57020
677.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7692
59.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
95713
737.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
162031
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
23395
30.1 IPS |
|
|
Style Transfer (HP)
|
100% |
246383
316.7 IPS |
|
|
Style Transfer (Q)
|
96% |
305430
394.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5561
205.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51222
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86411
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3382
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4828
6.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5017
6.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
3666
63.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9322
160.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11624
200.9 IPS |
