Mac17,2
Geekbench AI Score
5193
Single Precision Score
8543
Half Precision Score
6837
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | Norasinh |
| Upload Date | December 25 2025 02:18 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| Model | Mac17,2 |
| Model ID | Mac17,2 |
| Motherboard | Mac17,2 |
| CPU Information | |
|---|---|
| Name | Apple M5 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M5 |
| Base Frequency | 4.61 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2274
422.9 IPS |
|
|
Image Classification (HP)
|
100% |
3693
686.7 IPS |
|
|
Image Classification (Q)
|
96% |
2509
468.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2428
39.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3573
57.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3881
62.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10644
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
20390
23.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
17612
20.6 IPS |
|
|
Object Detection (SP)
|
100% |
2633
208.9 IPS |
|
|
Object Detection (HP)
|
97% |
4141
329.7 IPS |
|
|
Object Detection (Q)
|
94% |
2928
233.4 IPS |
|
|
Face Detection (SP)
|
100% |
4604
54.7 IPS |
|
|
Face Detection (HP)
|
100% |
8303
98.7 IPS |
|
|
Face Detection (Q)
|
100% |
4799
57.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8453
65.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14679
113.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10384
81.0 IPS |
|
|
Style Transfer (SP)
|
100% |
26827
34.5 IPS |
|
|
Style Transfer (HP)
|
100% |
41189
52.9 IPS |
|
|
Style Transfer (Q)
|
96% |
33906
43.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5938
219.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7329
270.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5258
194.1 IPS |
|
|
Text Classification (SP)
|
100% |
3064
4.09 KIPS |
|
|
Text Classification (HP)
|
99% |
5652
7.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5621
7.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
4860
83.7 IPS |
|
|
Machine Translation (HP)
|
98% |
8942
154.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8909
154.0 IPS |
