iPhone17,1
Geekbench AI Score
6365
Single Precision Score
7237
Half Precision Score
6467
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 16 2024 09:19 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3290
611.8 IPS |
|
|
Image Classification (HP)
|
100% |
2871
534.0 IPS |
|
|
Image Classification (Q)
|
97% |
2756
514.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3777
61.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4666
75.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4619
74.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
17302
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18108
21.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16765
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
3640
288.7 IPS |
|
|
Object Detection (HP)
|
100% |
3884
308.1 IPS |
|
|
Object Detection (Q)
|
91% |
3005
240.1 IPS |
|
|
Face Detection (SP)
|
100% |
8123
96.5 IPS |
|
|
Face Detection (HP)
|
100% |
11621
138.1 IPS |
|
|
Face Detection (Q)
|
100% |
7893
93.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
15265
117.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
16425
126.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
12885
100.7 IPS |
|
|
Style Transfer (SP)
|
100% |
35524
45.7 IPS |
|
|
Style Transfer (HP)
|
100% |
41641
53.5 IPS |
|
|
Style Transfer (Q)
|
96% |
40357
52.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8869
327.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9161
338.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7460
275.5 IPS |
|
|
Text Classification (SP)
|
100% |
3422
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5829
7.78 KIPS |
|
|
Text Classification (Q)
|
93% |
5820
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
1044
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
986
17.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1120
19.4 IPS |
