Mac17,2
Geekbench AI Score
5283
Single Precision Score
8624
Half Precision Score
6862
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 02 2025 10:19 PM |
| Views | 6 |
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% |
2278
423.7 IPS |
|
|
Image Classification (HP)
|
100% |
3728
693.3 IPS |
|
|
Image Classification (Q)
|
96% |
2538
474.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2383
38.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3532
57.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3846
62.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11000
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
20795
24.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17787
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
2667
211.5 IPS |
|
|
Object Detection (HP)
|
97% |
4184
333.1 IPS |
|
|
Object Detection (Q)
|
94% |
2968
236.6 IPS |
|
|
Face Detection (SP)
|
100% |
4773
56.7 IPS |
|
|
Face Detection (HP)
|
100% |
8570
101.8 IPS |
|
|
Face Detection (Q)
|
100% |
4772
56.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9105
70.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
15193
117.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10604
82.8 IPS |
|
|
Style Transfer (SP)
|
100% |
27525
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
41270
53.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33765
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6014
222.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7257
268.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5171
190.9 IPS |
|
|
Text Classification (SP)
|
100% |
2946
3.93 KIPS |
|
|
Text Classification (HP)
|
99% |
5422
7.24 KIPS |
|
|
Text Classification (Q)
|
93% |
5406
7.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
5024
86.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9403
162.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9406
162.5 IPS |
