Mac17,2
Geekbench AI Score
13278
Single Precision Score
24489
Half Precision Score
23315
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | namping |
| Upload Date | December 22 2025 06:28 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5087f) |
| 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 | 4.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5905
1.10 KIPS |
|
|
Image Classification (HP)
|
100% |
10139
1.89 KIPS |
|
|
Image Classification (Q)
|
97% |
8737
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10181
165.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16692
270.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
17393
281.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
39533
46.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
102925
120.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
110918
130.0 IPS |
|
|
Object Detection (SP)
|
100% |
6457
512.2 IPS |
|
|
Object Detection (HP)
|
100% |
11617
921.5 IPS |
|
|
Object Detection (Q)
|
92% |
9935
793.4 IPS |
|
|
Face Detection (SP)
|
100% |
19023
226.0 IPS |
|
|
Face Detection (HP)
|
100% |
36426
432.8 IPS |
|
|
Face Detection (Q)
|
100% |
27507
326.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
28365
218.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
56968
438.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
52816
412.1 IPS |
|
|
Style Transfer (SP)
|
100% |
81010
104.1 IPS |
|
|
Style Transfer (HP)
|
100% |
187000
240.4 IPS |
|
|
Style Transfer (Q)
|
96% |
207106
267.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15740
581.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29852
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28226
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3002
4.01 KIPS |
|
|
Text Classification (HP)
|
99% |
5436
7.26 KIPS |
|
|
Text Classification (Q)
|
93% |
5440
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
5378
92.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6089
104.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6136
106.0 IPS |
