iPhone17,1
Geekbench AI Score
4515
Single Precision Score
32091
Half Precision Score
44423
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | lorenzoceniccola |
| Upload Date | September 22 2024 05:08 AM |
| Views | 7 |
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 | 4.03 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2028
377.2 IPS |
|
|
Image Classification (HP)
|
100% |
15277
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
20156
3.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1960
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
14711
238.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
18322
297.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8554
9.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
151736
177.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
291995
342.2 IPS |
|
|
Object Detection (SP)
|
100% |
2143
170.0 IPS |
|
|
Object Detection (HP)
|
100% |
16267
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22535
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3639
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
40585
482.2 IPS |
|
|
Face Detection (Q)
|
100% |
54863
651.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7694
59.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
95119
732.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
159782
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
23495
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
244623
314.5 IPS |
|
|
Style Transfer (Q)
|
96% |
297924
384.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5602
206.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50156
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83612
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3413
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4674
6.24 KIPS |
|
|
Text Classification (Q)
|
93% |
4962
6.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3842
66.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9434
162.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11369
196.5 IPS |
