Mac17,2
Geekbench AI Score
5239
Single Precision Score
8596
Half Precision Score
6794
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Bierre |
| Upload Date | February 02 2026 09:06 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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% |
2169
403.3 IPS |
|
|
Image Classification (HP)
|
100% |
3599
669.3 IPS |
|
|
Image Classification (Q)
|
96% |
2351
439.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2378
38.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3656
59.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3851
62.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11154
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
20658
24.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
17733
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
2673
212.0 IPS |
|
|
Object Detection (HP)
|
97% |
4181
332.9 IPS |
|
|
Object Detection (Q)
|
94% |
2951
235.2 IPS |
|
|
Face Detection (SP)
|
100% |
4694
55.8 IPS |
|
|
Face Detection (HP)
|
100% |
8390
99.7 IPS |
|
|
Face Detection (Q)
|
100% |
4678
55.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9112
70.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
15134
117.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10550
82.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27396
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
41308
53.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33749
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5642
208.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7044
260.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5161
190.6 IPS |
|
|
Text Classification (SP)
|
100% |
3035
4.05 KIPS |
|
|
Text Classification (HP)
|
99% |
5538
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5461
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
5054
87.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9475
163.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9430
163.0 IPS |
