iPhone17,1
Geekbench AI Score
4641
Single Precision Score
32905
Half Precision Score
46096
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | eahyndman3 |
| Upload Date | November 01 2024 02:57 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPhone17,1 |
| Model ID | iPhone17,1 |
| Motherboard | D93AP |
| 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 | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2022
376.0 IPS |
|
|
Image Classification (HP)
|
100% |
15322
2.85 KIPS |
|
|
Image Classification (Q)
|
97% |
20242
3.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1978
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
17722
287.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24048
389.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9348
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
153736
179.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
294306
344.9 IPS |
|
|
Object Detection (SP)
|
100% |
2176
172.6 IPS |
|
|
Object Detection (HP)
|
100% |
16387
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22855
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
3680
43.7 IPS |
|
|
Face Detection (HP)
|
100% |
41485
492.9 IPS |
|
|
Face Detection (Q)
|
100% |
57870
687.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8045
62.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
95062
732.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
164319
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
24878
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
244738
314.6 IPS |
|
|
Style Transfer (Q)
|
96% |
302173
389.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5966
220.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51986
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85943
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3428
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4650
6.21 KIPS |
|
|
Text Classification (Q)
|
93% |
4707
6.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3790
65.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9324
160.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11382
196.7 IPS |
