iPhone17,2
Geekbench AI Score
5723
Single Precision Score
6723
Half Precision Score
5992
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Diacritical |
| Upload Date | September 22 2024 02:13 AM |
| Views | 13 |
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% |
2991
556.2 IPS |
|
|
Image Classification (HP)
|
100% |
2741
509.7 IPS |
|
|
Image Classification (Q)
|
97% |
2825
527.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3303
53.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4410
71.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4400
71.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15612
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16380
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15496
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
3161
250.8 IPS |
|
|
Object Detection (HP)
|
100% |
3445
273.3 IPS |
|
|
Object Detection (Q)
|
91% |
3106
248.2 IPS |
|
|
Face Detection (SP)
|
100% |
7437
88.4 IPS |
|
|
Face Detection (HP)
|
100% |
10588
125.8 IPS |
|
|
Face Detection (Q)
|
100% |
6989
83.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13285
102.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
14787
113.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
12001
93.8 IPS |
|
|
Style Transfer (SP)
|
100% |
32583
41.9 IPS |
|
|
Style Transfer (HP)
|
100% |
39308
50.5 IPS |
|
|
Style Transfer (Q)
|
96% |
35227
45.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7935
293.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8489
313.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6826
252.0 IPS |
|
|
Text Classification (SP)
|
100% |
3431
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5818
7.77 KIPS |
|
|
Text Classification (Q)
|
93% |
5782
7.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
883
15.2 IPS |
|
|
Machine Translation (HP)
|
100% |
910
15.7 IPS |
|
|
Machine Translation (Q)
|
98% |
856
14.8 IPS |
