Mac17,2
Geekbench AI Score
5326
Single Precision Score
8601
Half Precision Score
6830
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 29 2025 09:34 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A8364) |
| 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% |
2306
428.9 IPS |
|
|
Image Classification (HP)
|
100% |
3697
687.5 IPS |
|
|
Image Classification (Q)
|
96% |
2484
463.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2411
39.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3551
57.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3893
63.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11295
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20634
24.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
17706
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
2705
214.6 IPS |
|
|
Object Detection (HP)
|
97% |
4248
338.2 IPS |
|
|
Object Detection (Q)
|
94% |
2994
238.7 IPS |
|
|
Face Detection (SP)
|
100% |
4867
57.8 IPS |
|
|
Face Detection (HP)
|
100% |
8556
101.7 IPS |
|
|
Face Detection (Q)
|
100% |
4843
57.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9166
70.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
15207
117.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10632
83.0 IPS |
|
|
Style Transfer (SP)
|
100% |
26270
33.8 IPS |
|
|
Style Transfer (HP)
|
100% |
41432
53.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33851
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6001
221.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7146
263.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5128
189.3 IPS |
|
|
Text Classification (SP)
|
100% |
3055
4.08 KIPS |
|
|
Text Classification (HP)
|
99% |
5632
7.52 KIPS |
|
|
Text Classification (Q)
|
93% |
5584
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
5039
86.8 IPS |
|
|
Machine Translation (HP)
|
98% |
8875
153.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8638
149.3 IPS |
