iPhone17,2
Geekbench AI Score
2915
Single Precision Score
23814
Half Precision Score
30616
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 02 2024 08:19 AM |
| Views | 2 |
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 | 2.68 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1333
247.8 IPS |
|
|
Image Classification (HP)
|
100% |
13204
2.46 KIPS |
|
|
Image Classification (Q)
|
97% |
15468
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1218
19.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13136
213.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
18600
301.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4181
4.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
92232
107.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
151958
178.1 IPS |
|
|
Object Detection (SP)
|
100% |
1453
115.3 IPS |
|
|
Object Detection (HP)
|
100% |
12666
1.00 KIPS |
|
|
Object Detection (Q)
|
91% |
14761
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
2527
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
26454
314.3 IPS |
|
|
Face Detection (Q)
|
100% |
38703
459.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4941
38.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
65965
508.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
104098
813.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13707
17.6 IPS |
|
|
Style Transfer (HP)
|
100% |
160578
206.4 IPS |
|
|
Style Transfer (Q)
|
96% |
184947
238.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3755
138.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34626
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57718
2.13 KIPS |
|
|
Text Classification (SP)
|
100% |
2483
3.31 KIPS |
|
|
Text Classification (HP)
|
100% |
3556
4.75 KIPS |
|
|
Text Classification (Q)
|
93% |
3147
4.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2816
48.5 IPS |
|
|
Machine Translation (HP)
|
100% |
8393
144.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8286
143.2 IPS |
