Mac17,2
Geekbench AI Score
5329
Single Precision Score
8716
Half Precision Score
6916
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | ChiWah |
| Upload Date | October 24 2025 11:16 AM |
| Views | 23 |
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% |
2305
428.7 IPS |
|
|
Image Classification (HP)
|
100% |
3785
703.9 IPS |
|
|
Image Classification (Q)
|
96% |
2501
467.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2397
38.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3604
58.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3898
63.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11317
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20739
24.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
17875
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2685
213.0 IPS |
|
|
Object Detection (HP)
|
97% |
4244
337.9 IPS |
|
|
Object Detection (Q)
|
94% |
2988
238.2 IPS |
|
|
Face Detection (SP)
|
100% |
4802
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
8518
101.2 IPS |
|
|
Face Detection (Q)
|
100% |
4818
57.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9185
70.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
15316
118.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10655
83.2 IPS |
|
|
Style Transfer (SP)
|
100% |
26616
34.2 IPS |
|
|
Style Transfer (HP)
|
100% |
41145
52.9 IPS |
|
|
Style Transfer (Q)
|
96% |
33882
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6018
222.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7206
266.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5205
192.2 IPS |
|
|
Text Classification (SP)
|
100% |
3056
4.08 KIPS |
|
|
Text Classification (HP)
|
99% |
5730
7.65 KIPS |
|
|
Text Classification (Q)
|
93% |
5621
7.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
5099
87.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9516
164.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9453
163.4 IPS |
