iPhone17,2
Geekbench AI Score
4339
Single Precision Score
32738
Half Precision Score
46252
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 21 2024 12:34 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1985
369.2 IPS |
|
|
Image Classification (HP)
|
100% |
15606
2.90 KIPS |
|
|
Image Classification (Q)
|
97% |
20464
3.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1917
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18143
294.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23950
388.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7930
9.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
144152
168.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
293071
343.5 IPS |
|
|
Object Detection (SP)
|
100% |
2062
163.5 IPS |
|
|
Object Detection (HP)
|
100% |
16215
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22882
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
3468
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
39789
472.8 IPS |
|
|
Face Detection (Q)
|
100% |
58419
694.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7374
56.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
95112
732.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
160971
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
22346
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
245500
315.6 IPS |
|
|
Style Transfer (Q)
|
96% |
301341
388.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5188
191.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50532
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84251
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3413
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4832
6.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5036
6.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
3763
64.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9421
162.3 IPS |
|
|
Machine Translation (Q)
|
98% |
11339
196.0 IPS |
