iPhone17,1
Geekbench AI Score
4338
Single Precision Score
32119
Half Precision Score
44884
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | earth-sol |
| Upload Date | September 24 2024 06:57 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1957
364.0 IPS |
|
|
Image Classification (HP)
|
100% |
15501
2.88 KIPS |
|
|
Image Classification (Q)
|
97% |
20641
3.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1911
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
14770
239.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
18358
297.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7844
9.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
143206
167.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
291465
341.6 IPS |
|
|
Object Detection (SP)
|
100% |
2033
161.3 IPS |
|
|
Object Detection (HP)
|
100% |
16361
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22708
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3507
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
41262
490.3 IPS |
|
|
Face Detection (Q)
|
100% |
55400
658.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7321
56.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
94915
731.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
160550
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
22206
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
246080
316.3 IPS |
|
|
Style Transfer (Q)
|
96% |
303179
391.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5339
197.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50182
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86176
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3416
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4756
6.35 KIPS |
|
|
Text Classification (Q)
|
93% |
4975
6.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3813
65.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9473
163.2 IPS |
|
|
Machine Translation (Q)
|
98% |
11447
197.8 IPS |
