Mac17,6
Geekbench AI Score
5453
Single Precision Score
9396
Half Precision Score
7327
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | mnin |
| Upload Date | March 25 2026 09:11 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| 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 | 4.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2332
433.7 IPS |
|
|
Image Classification (HP)
|
100% |
3393
631.0 IPS |
|
|
Image Classification (Q)
|
94% |
2238
418.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2509
40.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3064
49.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4148
67.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10096
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19696
23.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
17115
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
2909
230.8 IPS |
|
|
Object Detection (HP)
|
98% |
4381
348.6 IPS |
|
|
Object Detection (Q)
|
88% |
2874
230.3 IPS |
|
|
Face Detection (SP)
|
100% |
5696
67.7 IPS |
|
|
Face Detection (HP)
|
100% |
10415
123.8 IPS |
|
|
Face Detection (Q)
|
100% |
5345
63.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9236
71.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12187
94.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8358
65.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25299
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
46630
59.9 IPS |
|
|
Style Transfer (Q)
|
96% |
37342
48.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5875
216.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10531
388.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6268
231.5 IPS |
|
|
Text Classification (SP)
|
99% |
6022
8.04 KIPS |
|
|
Text Classification (HP)
|
99% |
9773
13.0 KIPS |
|
|
Text Classification (Q)
|
92% |
9602
12.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
2876
49.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9824
169.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9734
168.2 IPS |
