Mac17,6
Geekbench AI Score
5093
Single Precision Score
8832
Half Precision Score
7059
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | rdwatson |
| Upload Date | March 23 2026 06:49 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (a) (Build 25D771280a) |
| 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% |
2379
442.5 IPS |
|
|
Image Classification (HP)
|
100% |
3665
681.5 IPS |
|
|
Image Classification (Q)
|
96% |
2544
475.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2493
40.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3567
57.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4019
65.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11016
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
21016
24.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
18067
21.2 IPS |
|
|
Object Detection (SP)
|
100% |
2857
226.6 IPS |
|
|
Object Detection (HP)
|
97% |
4293
341.8 IPS |
|
|
Object Detection (Q)
|
94% |
3011
240.0 IPS |
|
|
Face Detection (SP)
|
100% |
5355
63.6 IPS |
|
|
Face Detection (HP)
|
100% |
8919
106.0 IPS |
|
|
Face Detection (Q)
|
100% |
4967
59.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9484
73.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
15797
122.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10877
84.9 IPS |
|
|
Style Transfer (SP)
|
100% |
27468
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
42029
54.0 IPS |
|
|
Style Transfer (Q)
|
96% |
34392
44.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6013
222.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7229
266.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5228
193.1 IPS |
|
|
Text Classification (SP)
|
100% |
2961
3.95 KIPS |
|
|
Text Classification (HP)
|
99% |
5563
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5529
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
2534
43.7 IPS |
|
|
Machine Translation (HP)
|
98% |
10288
177.8 IPS |
|
|
Machine Translation (Q)
|
98% |
10290
177.8 IPS |
