iPhone17,1
Geekbench AI Score
4549
Single Precision Score
33059
Half Precision Score
45985
Quantized Score
Geekbench AI 1.1.0 Corporate for iOS AArch64
Result Information
| Upload Date | February 19 2025 10:36 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2015
374.8 IPS |
|
|
Image Classification (HP)
|
100% |
15298
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
20364
3.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1961
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18404
298.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24034
389.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8880
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
153159
178.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
293783
344.3 IPS |
|
|
Object Detection (SP)
|
100% |
2178
172.8 IPS |
|
|
Object Detection (HP)
|
100% |
16165
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22843
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
3643
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
41254
490.2 IPS |
|
|
Face Detection (Q)
|
100% |
57412
682.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7771
59.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
95186
733.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
160972
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
23858
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
244334
314.1 IPS |
|
|
Style Transfer (Q)
|
96% |
300395
387.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5683
209.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50441
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84318
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3418
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4584
6.12 KIPS |
|
|
Text Classification (Q)
|
93% |
4794
6.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3788
65.2 IPS |
|
|
Machine Translation (HP)
|
100% |
10085
173.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11473
198.3 IPS |
