iPhone17,2
Geekbench AI Score
5726
Single Precision Score
6518
Half Precision Score
5994
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 20 2024 12:17 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2918
542.7 IPS |
|
|
Image Classification (HP)
|
100% |
2253
419.1 IPS |
|
|
Image Classification (Q)
|
97% |
2796
521.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3268
53.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4397
71.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4380
71.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15540
18.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
16362
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15638
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
3189
252.9 IPS |
|
|
Object Detection (HP)
|
100% |
3447
273.4 IPS |
|
|
Object Detection (Q)
|
91% |
2804
224.1 IPS |
|
|
Face Detection (SP)
|
100% |
7903
93.9 IPS |
|
|
Face Detection (HP)
|
100% |
10975
130.4 IPS |
|
|
Face Detection (Q)
|
100% |
7332
87.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13913
107.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
15163
116.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
12638
98.8 IPS |
|
|
Style Transfer (SP)
|
100% |
32493
41.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38151
49.0 IPS |
|
|
Style Transfer (Q)
|
96% |
37077
47.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7915
292.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8168
301.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6666
246.1 IPS |
|
|
Text Classification (SP)
|
100% |
3352
4.47 KIPS |
|
|
Text Classification (HP)
|
100% |
5633
7.52 KIPS |
|
|
Text Classification (Q)
|
93% |
5756
7.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
847
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
849
14.6 IPS |
|
|
Machine Translation (Q)
|
98% |
846
14.6 IPS |
