iPhone17,2
Geekbench AI Score
5767
Single Precision Score
6852
Half Precision Score
6096
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | RaySajuuk |
| Upload Date | September 29 2024 10:32 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
2941
546.9 IPS |
|
|
Image Classification (HP)
|
100% |
2876
534.8 IPS |
|
|
Image Classification (Q)
|
97% |
2795
521.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3407
55.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4422
71.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4392
71.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15773
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16583
19.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15606
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
3173
251.7 IPS |
|
|
Object Detection (HP)
|
100% |
3692
292.9 IPS |
|
|
Object Detection (Q)
|
91% |
3114
248.8 IPS |
|
|
Face Detection (SP)
|
100% |
7605
90.4 IPS |
|
|
Face Detection (HP)
|
100% |
10663
126.7 IPS |
|
|
Face Detection (Q)
|
100% |
7126
84.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13316
102.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
14428
111.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
11979
93.6 IPS |
|
|
Style Transfer (SP)
|
100% |
33158
42.6 IPS |
|
|
Style Transfer (HP)
|
100% |
39548
50.8 IPS |
|
|
Style Transfer (Q)
|
96% |
36379
46.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8074
298.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8456
312.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6773
250.1 IPS |
|
|
Text Classification (SP)
|
100% |
3434
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5926
7.91 KIPS |
|
|
Text Classification (Q)
|
93% |
6003
8.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
873
15.0 IPS |
|
|
Machine Translation (HP)
|
100% |
961
16.6 IPS |
|
|
Machine Translation (Q)
|
98% |
942
16.3 IPS |
