iPhone17,2
Geekbench AI Score
4536
Single Precision Score
33330
Half Precision Score
46285
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 12:23 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| Model | iPhone17,2 |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2001
372.2 IPS |
|
|
Image Classification (HP)
|
100% |
15394
2.86 KIPS |
|
|
Image Classification (Q)
|
97% |
20938
3.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1952
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18323
297.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24131
391.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8895
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
154390
180.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
293941
344.5 IPS |
|
|
Object Detection (SP)
|
100% |
2155
170.9 IPS |
|
|
Object Detection (HP)
|
100% |
16454
1.31 KIPS |
|
|
Object Detection (Q)
|
91% |
22921
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
3579
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
42264
502.2 IPS |
|
|
Face Detection (Q)
|
100% |
58127
690.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7925
61.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
95279
734.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
160921
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24093
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
245537
315.6 IPS |
|
|
Style Transfer (Q)
|
96% |
301472
389.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5570
205.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50149
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84249
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3426
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5086
6.79 KIPS |
|
|
Text Classification (Q)
|
93% |
4878
6.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3778
65.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9365
161.3 IPS |
|
|
Machine Translation (Q)
|
98% |
11439
197.7 IPS |
