Mac17,2
Geekbench AI Score
5051
Single Precision Score
8437
Half Precision Score
6721
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 06 2025 08:29 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 4.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2279
423.8 IPS |
|
|
Image Classification (HP)
|
100% |
3715
690.9 IPS |
|
|
Image Classification (Q)
|
96% |
2541
474.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2425
39.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3525
57.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3894
63.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11325
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20390
23.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
17879
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2685
213.0 IPS |
|
|
Object Detection (HP)
|
97% |
4197
334.1 IPS |
|
|
Object Detection (Q)
|
94% |
2971
236.8 IPS |
|
|
Face Detection (SP)
|
100% |
4798
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
7398
87.9 IPS |
|
|
Face Detection (Q)
|
100% |
4128
49.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8689
66.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13598
105.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9234
72.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17070
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
41337
53.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33835
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5952
219.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7410
273.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5189
191.6 IPS |
|
|
Text Classification (SP)
|
100% |
3037
4.05 KIPS |
|
|
Text Classification (HP)
|
99% |
5634
7.52 KIPS |
|
|
Text Classification (Q)
|
93% |
5668
7.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
5005
86.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9395
162.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9441
163.1 IPS |
