iPhone17,2
Geekbench AI Score
4592
Single Precision Score
32010
Half Precision Score
43709
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 03:07 PM |
| Views | 1 |
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% |
2001
372.2 IPS |
|
|
Image Classification (HP)
|
100% |
15210
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
18988
3.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1957
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
14601
236.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
18242
295.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9393
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
155335
181.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
293056
343.5 IPS |
|
|
Object Detection (SP)
|
100% |
2167
171.9 IPS |
|
|
Object Detection (HP)
|
100% |
16242
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22516
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3654
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
40724
483.9 IPS |
|
|
Face Detection (Q)
|
100% |
54913
652.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8074
62.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
95184
733.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
160821
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24638
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
247143
317.7 IPS |
|
|
Style Transfer (Q)
|
96% |
301310
388.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5561
205.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51030
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84260
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3427
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4323
5.77 KIPS |
|
|
Text Classification (Q)
|
93% |
4379
5.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3778
65.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9539
164.3 IPS |
|
|
Machine Translation (Q)
|
98% |
11343
196.0 IPS |
