Mac17,2
Geekbench AI Score
5377
Single Precision Score
8743
Half Precision Score
6906
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 28 2025 08:22 AM |
| Views | 2 |
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 | 4.61 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2303
428.3 IPS |
|
|
Image Classification (HP)
|
100% |
3729
693.5 IPS |
|
|
Image Classification (Q)
|
96% |
2545
475.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2510
40.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3696
59.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3921
63.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11292
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20800
24.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17608
20.6 IPS |
|
|
Object Detection (SP)
|
100% |
2724
216.1 IPS |
|
|
Object Detection (HP)
|
97% |
4265
339.5 IPS |
|
|
Object Detection (Q)
|
94% |
2982
237.7 IPS |
|
|
Face Detection (SP)
|
100% |
4835
57.4 IPS |
|
|
Face Detection (HP)
|
100% |
8623
102.5 IPS |
|
|
Face Detection (Q)
|
100% |
4856
57.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9166
70.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
15289
118.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10600
82.7 IPS |
|
|
Style Transfer (SP)
|
100% |
27564
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
41460
53.3 IPS |
|
|
Style Transfer (Q)
|
96% |
34022
43.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5987
221.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7189
265.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5174
191.0 IPS |
|
|
Text Classification (SP)
|
100% |
3103
4.14 KIPS |
|
|
Text Classification (HP)
|
99% |
5696
7.60 KIPS |
|
|
Text Classification (Q)
|
93% |
5625
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
5015
86.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9542
164.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9241
159.7 IPS |
