iPhone17,2
Geekbench AI Score
4374
Single Precision Score
32150
Half Precision Score
44635
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 19 2024 05:50 AM |
| Views | 2 |
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% |
1901
353.6 IPS |
|
|
Image Classification (HP)
|
100% |
15357
2.86 KIPS |
|
|
Image Classification (Q)
|
97% |
20809
3.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1812
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
14494
235.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
18072
293.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8576
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
153785
179.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
290653
340.7 IPS |
|
|
Object Detection (SP)
|
100% |
2091
165.9 IPS |
|
|
Object Detection (HP)
|
100% |
16175
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22570
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3398
40.4 IPS |
|
|
Face Detection (HP)
|
100% |
40380
479.8 IPS |
|
|
Face Detection (Q)
|
100% |
54531
647.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7645
58.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
94774
730.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
160321
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
23204
29.8 IPS |
|
|
Style Transfer (HP)
|
100% |
246195
316.5 IPS |
|
|
Style Transfer (Q)
|
96% |
305392
394.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5557
205.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50909
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85621
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3436
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4793
6.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4971
6.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3610
62.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9269
159.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11198
193.5 IPS |
