Mac17,2
Geekbench AI Score
5340
Single Precision Score
8647
Half Precision Score
6934
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 12 2025 12:28 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A8353) |
| 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% |
2289
425.8 IPS |
|
|
Image Classification (HP)
|
100% |
3710
689.9 IPS |
|
|
Image Classification (Q)
|
96% |
2508
468.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2421
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3566
57.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3905
63.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11306
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20784
24.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17890
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2697
213.9 IPS |
|
|
Object Detection (HP)
|
97% |
4251
338.4 IPS |
|
|
Object Detection (Q)
|
94% |
2990
238.3 IPS |
|
|
Face Detection (SP)
|
100% |
4889
58.1 IPS |
|
|
Face Detection (HP)
|
100% |
8524
101.3 IPS |
|
|
Face Detection (Q)
|
100% |
4802
57.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9166
70.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
15270
118.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10688
83.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27407
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
41537
53.4 IPS |
|
|
Style Transfer (Q)
|
96% |
34031
43.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5904
218.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7101
262.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5147
190.1 IPS |
|
|
Text Classification (SP)
|
100% |
3060
4.08 KIPS |
|
|
Text Classification (HP)
|
99% |
5684
7.59 KIPS |
|
|
Text Classification (Q)
|
93% |
5524
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
5035
86.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9169
158.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9883
170.8 IPS |
