Mac17,6
Geekbench AI Score
5023
Single Precision Score
8709
Half Precision Score
6953
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Betancd |
| Upload Date | March 17 2026 03:06 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| Model | Mac17,6 |
| Model ID | Mac17,6 |
| Motherboard | Mac17,6 |
| CPU Information | |
|---|---|
| Name | Apple M5 Max |
| Topology | 1 Processor, 18 Cores |
| Identifier | Apple M5 Max |
| Base Frequency | 4.42 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2343
435.7 IPS |
|
|
Image Classification (HP)
|
100% |
3667
681.9 IPS |
|
|
Image Classification (Q)
|
96% |
2463
459.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2481
40.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3391
55.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3867
62.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10687
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
20329
23.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
17715
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
2791
221.4 IPS |
|
|
Object Detection (HP)
|
97% |
4268
339.8 IPS |
|
|
Object Detection (Q)
|
94% |
2948
235.0 IPS |
|
|
Face Detection (SP)
|
100% |
5031
59.8 IPS |
|
|
Face Detection (HP)
|
100% |
8644
102.7 IPS |
|
|
Face Detection (Q)
|
100% |
4808
57.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9336
71.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
15475
119.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10719
83.7 IPS |
|
|
Style Transfer (SP)
|
100% |
26422
34.0 IPS |
|
|
Style Transfer (HP)
|
100% |
41074
52.8 IPS |
|
|
Style Transfer (Q)
|
96% |
33575
43.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6003
221.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7270
268.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5254
194.0 IPS |
|
|
Text Classification (SP)
|
100% |
3204
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5733
7.65 KIPS |
|
|
Text Classification (Q)
|
93% |
5752
7.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
2475
42.6 IPS |
|
|
Machine Translation (HP)
|
98% |
10170
175.7 IPS |
|
|
Machine Translation (Q)
|
98% |
10165
175.7 IPS |
