MacBook Pro M5 Mac17,2
Geekbench AI Score
5320
Single Precision Score
8721
Half Precision Score
6900
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | TechHut |
| Upload Date | October 28 2025 08:33 PM |
| Views | 3 |
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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2260
420.2 IPS |
|
|
Image Classification (HP)
|
100% |
3704
688.9 IPS |
|
|
Image Classification (Q)
|
96% |
2529
472.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2447
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3657
59.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3847
62.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11290
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20789
24.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17785
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
2654
210.5 IPS |
|
|
Object Detection (HP)
|
97% |
4171
332.1 IPS |
|
|
Object Detection (Q)
|
94% |
2941
234.4 IPS |
|
|
Face Detection (SP)
|
100% |
4768
56.7 IPS |
|
|
Face Detection (HP)
|
100% |
8509
101.1 IPS |
|
|
Face Detection (Q)
|
100% |
4757
56.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9072
69.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
15179
117.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10572
82.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27157
34.9 IPS |
|
|
Style Transfer (HP)
|
100% |
41207
53.0 IPS |
|
|
Style Transfer (Q)
|
96% |
33682
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6042
223.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7311
270.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5165
190.7 IPS |
|
|
Text Classification (SP)
|
100% |
3063
4.09 KIPS |
|
|
Text Classification (HP)
|
99% |
5852
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5772
7.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
5042
86.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9519
164.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9520
164.5 IPS |
