Mac17,2
Geekbench AI Score
5213
Single Precision Score
8535
Half Precision Score
6804
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 13 2025 03:06 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 4.58 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2234
415.4 IPS |
|
|
Image Classification (HP)
|
100% |
3683
685.0 IPS |
|
|
Image Classification (Q)
|
96% |
2511
468.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2400
38.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3555
57.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3819
61.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10802
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
20606
24.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
17464
20.5 IPS |
|
|
Object Detection (SP)
|
100% |
2632
208.7 IPS |
|
|
Object Detection (HP)
|
97% |
4119
327.9 IPS |
|
|
Object Detection (Q)
|
94% |
2913
232.2 IPS |
|
|
Face Detection (SP)
|
100% |
4626
55.0 IPS |
|
|
Face Detection (HP)
|
100% |
8282
98.4 IPS |
|
|
Face Detection (Q)
|
100% |
4740
56.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9072
69.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14960
115.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10469
81.7 IPS |
|
|
Style Transfer (SP)
|
100% |
26883
34.6 IPS |
|
|
Style Transfer (HP)
|
100% |
41118
52.9 IPS |
|
|
Style Transfer (Q)
|
96% |
33647
43.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5961
220.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7195
265.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5154
190.3 IPS |
|
|
Text Classification (SP)
|
100% |
2951
3.94 KIPS |
|
|
Text Classification (HP)
|
99% |
5521
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5492
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
4908
84.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9129
157.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9226
159.4 IPS |
