iPhone17,4
Geekbench AI Score
3778
Single Precision Score
4308
Half Precision Score
4208
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 16 2024 10:34 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPhone17,4 |
| Model ID | iPhone17,4 |
| Motherboard | D48AP |
| 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 | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
806
149.9 IPS |
|
|
Image Classification (HP)
|
100% |
851
158.4 IPS |
|
|
Image Classification (Q)
|
97% |
1031
192.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2989
48.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3561
57.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3551
57.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13576
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
13983
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13109
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1337
106.1 IPS |
|
|
Object Detection (HP)
|
100% |
1377
109.2 IPS |
|
|
Object Detection (Q)
|
91% |
1368
109.3 IPS |
|
|
Face Detection (SP)
|
100% |
7301
86.7 IPS |
|
|
Face Detection (HP)
|
100% |
9252
109.9 IPS |
|
|
Face Detection (Q)
|
100% |
6179
73.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11987
92.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
12870
99.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
9883
77.3 IPS |
|
|
Style Transfer (SP)
|
100% |
29333
37.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32001
41.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30616
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3093
114.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3018
111.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4376
161.6 IPS |
|
|
Text Classification (SP)
|
100% |
3424
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5916
7.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5840
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
499
8.59 IPS |
|
|
Machine Translation (HP)
|
100% |
555
9.55 IPS |
|
|
Machine Translation (Q)
|
98% |
555
9.60 IPS |
