iPhone17,1
Geekbench AI Score
4641
Single Precision Score
32780
Half Precision Score
45607
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 18 2024 02:08 PM |
| Views | 1 |
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% |
2004
372.8 IPS |
|
|
Image Classification (HP)
|
100% |
15200
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
19982
3.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1975
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18386
298.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24180
392.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9313
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
153827
179.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
294986
345.7 IPS |
|
|
Object Detection (SP)
|
100% |
2193
174.0 IPS |
|
|
Object Detection (HP)
|
100% |
16411
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22631
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3713
44.1 IPS |
|
|
Face Detection (HP)
|
100% |
41284
490.5 IPS |
|
|
Face Detection (Q)
|
100% |
58249
692.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8088
62.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
95476
735.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
161000
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24691
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
245025
315.0 IPS |
|
|
Style Transfer (Q)
|
96% |
303254
391.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5876
217.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51017
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85268
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3428
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4349
5.81 KIPS |
|
|
Text Classification (Q)
|
93% |
4340
5.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3843
66.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9476
163.2 IPS |
|
|
Machine Translation (Q)
|
98% |
11471
198.2 IPS |
