iPhone17,1
Geekbench AI Score
4661
Single Precision Score
7854
Half Precision Score
6280
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | MarkJWilcox |
| Upload Date | October 05 2024 08:19 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
2011
374.0 IPS |
|
|
Image Classification (HP)
|
100% |
3349
622.7 IPS |
|
|
Image Classification (Q)
|
96% |
2273
424.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1977
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2949
47.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3396
55.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9490
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
19064
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16184
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2184
173.2 IPS |
|
|
Object Detection (HP)
|
97% |
3830
304.9 IPS |
|
|
Object Detection (Q)
|
94% |
2697
215.0 IPS |
|
|
Face Detection (SP)
|
100% |
3712
44.1 IPS |
|
|
Face Detection (HP)
|
100% |
7690
91.4 IPS |
|
|
Face Detection (Q)
|
100% |
4319
51.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8063
62.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14389
111.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10101
78.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24945
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37970
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31189
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5978
220.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6990
258.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4986
184.1 IPS |
|
|
Text Classification (SP)
|
100% |
3429
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5845
7.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5863
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3841
66.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7222
124.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7121
123.1 IPS |
