Mac17,6
Geekbench AI Score
5104
Single Precision Score
8853
Half Precision Score
7068
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | dd1989 |
| Upload Date | March 11 2026 01:43 PM |
| Views | 3 |
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 | 4.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2382
443.0 IPS |
|
|
Image Classification (HP)
|
100% |
3738
695.2 IPS |
|
|
Image Classification (Q)
|
96% |
2557
477.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2442
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3557
57.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4018
65.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11580
13.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
20988
24.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
18085
21.2 IPS |
|
|
Object Detection (SP)
|
100% |
2847
225.8 IPS |
|
|
Object Detection (HP)
|
97% |
4312
343.3 IPS |
|
|
Object Detection (Q)
|
94% |
3029
241.5 IPS |
|
|
Face Detection (SP)
|
100% |
5348
63.5 IPS |
|
|
Face Detection (HP)
|
100% |
8959
106.5 IPS |
|
|
Face Detection (Q)
|
100% |
4975
59.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9564
73.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
15894
122.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10904
85.1 IPS |
|
|
Style Transfer (SP)
|
100% |
27291
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
41988
54.0 IPS |
|
|
Style Transfer (Q)
|
96% |
34477
44.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6009
221.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7249
267.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5234
193.3 IPS |
|
|
Text Classification (SP)
|
100% |
2995
4.00 KIPS |
|
|
Text Classification (HP)
|
99% |
5493
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5492
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
2492
42.9 IPS |
|
|
Machine Translation (HP)
|
98% |
10335
178.6 IPS |
|
|
Machine Translation (Q)
|
98% |
10292
177.9 IPS |
