iPhone17,1
Geekbench AI Score
4510
Single Precision Score
30826
Half Precision Score
45114
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | sarre9 |
| Upload Date | September 29 2024 02:47 AM |
| Views | 5 |
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% |
2020
375.7 IPS |
|
|
Image Classification (HP)
|
100% |
15243
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
20207
3.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1946
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18124
293.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23919
387.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8595
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
152343
177.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
291058
341.1 IPS |
|
|
Object Detection (SP)
|
100% |
2120
168.2 IPS |
|
|
Object Detection (HP)
|
100% |
16245
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22115
1.77 KIPS |
|
|
Face Detection (SP)
|
100% |
3593
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
41255
490.2 IPS |
|
|
Face Detection (Q)
|
100% |
58460
694.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7761
59.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
95036
732.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
159548
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
23847
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
244317
314.1 IPS |
|
|
Style Transfer (Q)
|
96% |
301508
389.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5685
209.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49633
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83650
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3421
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
2597
3.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4233
5.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3764
64.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9180
158.1 IPS |
|
|
Machine Translation (Q)
|
98% |
11274
194.8 IPS |
