Mac17,2
Geekbench AI Score
5316
Single Precision Score
8671
Half Precision Score
6862
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 30 2025 11:10 PM |
| Views | 2 |
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% |
2220
412.9 IPS |
|
|
Image Classification (HP)
|
100% |
3692
686.5 IPS |
|
|
Image Classification (Q)
|
96% |
2510
468.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2479
40.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3656
59.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3828
62.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11050
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20871
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17805
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2659
210.9 IPS |
|
|
Object Detection (HP)
|
97% |
4174
332.3 IPS |
|
|
Object Detection (Q)
|
94% |
2928
233.3 IPS |
|
|
Face Detection (SP)
|
100% |
4783
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
8258
98.1 IPS |
|
|
Face Detection (Q)
|
100% |
4748
56.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9111
70.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
15200
117.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10442
81.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27277
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
41333
53.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33768
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6031
222.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7440
274.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5185
191.5 IPS |
|
|
Text Classification (SP)
|
100% |
3102
4.14 KIPS |
|
|
Text Classification (HP)
|
99% |
5600
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5640
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
5018
86.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9455
163.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9441
163.1 IPS |
