Mac17,6
Geekbench AI Score
5089
Single Precision Score
8839
Half Precision Score
7061
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | ARMADA264 |
| Upload Date | March 14 2026 07:58 PM |
| Views | 7 |
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 | 4.61 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2378
442.3 IPS |
|
|
Image Classification (HP)
|
100% |
3710
689.9 IPS |
|
|
Image Classification (Q)
|
96% |
2524
471.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2472
40.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3556
57.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4022
65.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10905
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
20882
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
18064
21.2 IPS |
|
|
Object Detection (SP)
|
100% |
2855
226.5 IPS |
|
|
Object Detection (HP)
|
97% |
4293
341.8 IPS |
|
|
Object Detection (Q)
|
94% |
3024
241.0 IPS |
|
|
Face Detection (SP)
|
100% |
5291
62.9 IPS |
|
|
Face Detection (HP)
|
100% |
8941
106.2 IPS |
|
|
Face Detection (Q)
|
100% |
4964
59.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9490
73.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
15804
122.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10861
84.8 IPS |
|
|
Style Transfer (SP)
|
100% |
27400
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
42008
54.0 IPS |
|
|
Style Transfer (Q)
|
96% |
34398
44.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6042
223.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7212
266.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5238
193.4 IPS |
|
|
Text Classification (SP)
|
100% |
3080
4.11 KIPS |
|
|
Text Classification (HP)
|
99% |
5607
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5572
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2491
42.9 IPS |
|
|
Machine Translation (HP)
|
98% |
10255
177.2 IPS |
|
|
Machine Translation (Q)
|
98% |
10275
177.6 IPS |
