Mac17,6
Geekbench AI Score
5477
Single Precision Score
9489
Half Precision Score
7388
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | almatech |
| Upload Date | April 03 2026 06:46 PM |
| Views | 7 |
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 | 4.61 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2383
443.1 IPS |
|
|
Image Classification (HP)
|
100% |
3575
664.8 IPS |
|
|
Image Classification (Q)
|
94% |
2183
408.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2540
41.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3060
49.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4129
66.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10131
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19748
23.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
17101
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
2884
228.8 IPS |
|
|
Object Detection (HP)
|
98% |
4533
360.7 IPS |
|
|
Object Detection (Q)
|
88% |
2897
232.2 IPS |
|
|
Face Detection (SP)
|
100% |
5686
67.6 IPS |
|
|
Face Detection (HP)
|
100% |
10339
122.9 IPS |
|
|
Face Detection (Q)
|
100% |
5340
63.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9234
71.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12166
94.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8565
66.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25114
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
46452
59.7 IPS |
|
|
Style Transfer (Q)
|
96% |
36936
47.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5859
216.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10546
389.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6382
235.6 IPS |
|
|
Text Classification (SP)
|
99% |
6215
8.30 KIPS |
|
|
Text Classification (HP)
|
99% |
9971
13.3 KIPS |
|
|
Text Classification (Q)
|
93% |
10256
13.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
2864
49.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9846
169.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9816
169.6 IPS |
