iPhone17,2
Geekbench AI Score
5689
Single Precision Score
6615
Half Precision Score
5986
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 17 2024 11:05 PM |
| Views | 3 |
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% |
2874
534.4 IPS |
|
|
Image Classification (HP)
|
100% |
2513
467.4 IPS |
|
|
Image Classification (Q)
|
97% |
2807
523.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3368
54.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4386
71.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4344
70.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15388
18.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
16294
19.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15333
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
3322
263.5 IPS |
|
|
Object Detection (HP)
|
100% |
3456
274.1 IPS |
|
|
Object Detection (Q)
|
91% |
2966
237.0 IPS |
|
|
Face Detection (SP)
|
100% |
7359
87.4 IPS |
|
|
Face Detection (HP)
|
100% |
10557
125.4 IPS |
|
|
Face Detection (Q)
|
100% |
7063
83.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13249
102.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
14214
109.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
12305
96.2 IPS |
|
|
Style Transfer (SP)
|
100% |
32216
41.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38992
50.1 IPS |
|
|
Style Transfer (Q)
|
96% |
36072
46.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7894
291.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8340
308.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6723
248.2 IPS |
|
|
Text Classification (SP)
|
100% |
3455
4.61 KIPS |
|
|
Text Classification (HP)
|
100% |
5981
7.98 KIPS |
|
|
Text Classification (Q)
|
93% |
5953
7.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
838
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
886
15.3 IPS |
|
|
Machine Translation (Q)
|
98% |
849
14.7 IPS |
