Mac17,2
Geekbench AI Score
5339
Single Precision Score
8680
Half Precision Score
6896
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 17 2025 10:28 PM |
| Views | 1 |
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 | 4.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2287
425.4 IPS |
|
|
Image Classification (HP)
|
100% |
3711
690.1 IPS |
|
|
Image Classification (Q)
|
96% |
2529
472.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2461
39.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3556
57.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3898
63.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11030
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20829
24.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17908
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2694
213.7 IPS |
|
|
Object Detection (HP)
|
97% |
4229
336.7 IPS |
|
|
Object Detection (Q)
|
94% |
2976
237.2 IPS |
|
|
Face Detection (SP)
|
100% |
4852
57.7 IPS |
|
|
Face Detection (HP)
|
100% |
8583
102.0 IPS |
|
|
Face Detection (Q)
|
100% |
4841
57.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9124
70.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
15279
118.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10656
83.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27659
35.6 IPS |
|
|
Style Transfer (HP)
|
100% |
41577
53.4 IPS |
|
|
Style Transfer (Q)
|
96% |
33971
43.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5974
220.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7168
264.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5158
190.5 IPS |
|
|
Text Classification (SP)
|
100% |
3052
4.07 KIPS |
|
|
Text Classification (HP)
|
99% |
5683
7.59 KIPS |
|
|
Text Classification (Q)
|
93% |
5462
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
5045
86.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9406
162.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9387
162.2 IPS |
