iPhone17,2
Geekbench AI Score
5650
Single Precision Score
6599
Half Precision Score
5882
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 06:44 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
2891
537.7 IPS |
|
|
Image Classification (HP)
|
100% |
2746
510.7 IPS |
|
|
Image Classification (Q)
|
97% |
2836
529.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3145
51.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4366
70.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4368
70.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15510
18.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
16339
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15330
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
3185
252.7 IPS |
|
|
Object Detection (HP)
|
100% |
3677
291.6 IPS |
|
|
Object Detection (Q)
|
91% |
2962
236.6 IPS |
|
|
Face Detection (SP)
|
100% |
7282
86.5 IPS |
|
|
Face Detection (HP)
|
100% |
10536
125.2 IPS |
|
|
Face Detection (Q)
|
100% |
6964
82.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13047
100.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
14205
109.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
11843
92.6 IPS |
|
|
Style Transfer (SP)
|
100% |
32318
41.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38821
49.9 IPS |
|
|
Style Transfer (Q)
|
96% |
36535
47.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7820
288.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8464
312.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6561
242.3 IPS |
|
|
Text Classification (SP)
|
100% |
3452
4.61 KIPS |
|
|
Text Classification (HP)
|
100% |
5952
7.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5915
7.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
892
15.4 IPS |
|
|
Machine Translation (HP)
|
100% |
743
12.8 IPS |
|
|
Machine Translation (Q)
|
98% |
754
13.0 IPS |
