iPhone17,4
Geekbench AI Score
3935
Single Precision Score
4291
Half Precision Score
4197
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 14 2024 06:16 AM |
| Views | 2 |
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% |
897
166.9 IPS |
|
|
Image Classification (HP)
|
100% |
833
154.9 IPS |
|
|
Image Classification (Q)
|
97% |
995
185.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2873
46.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3632
58.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3651
59.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13562
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
13988
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13056
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1544
122.4 IPS |
|
|
Object Detection (HP)
|
100% |
1387
110.0 IPS |
|
|
Object Detection (Q)
|
91% |
1788
142.9 IPS |
|
|
Face Detection (SP)
|
100% |
7125
84.7 IPS |
|
|
Face Detection (HP)
|
100% |
9139
108.6 IPS |
|
|
Face Detection (Q)
|
100% |
6077
72.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11519
88.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
12019
92.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
9714
75.9 IPS |
|
|
Style Transfer (SP)
|
100% |
29556
38.0 IPS |
|
|
Style Transfer (HP)
|
100% |
31967
41.1 IPS |
|
|
Style Transfer (Q)
|
96% |
29956
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4142
152.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3642
134.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4103
151.5 IPS |
|
|
Text Classification (SP)
|
100% |
3414
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5956
7.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5909
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
481
8.28 IPS |
|
|
Machine Translation (HP)
|
100% |
474
8.17 IPS |
|
|
Machine Translation (Q)
|
98% |
467
8.07 IPS |
