Mac17,6
Geekbench AI Score
5138
Single Precision Score
43734
Half Precision Score
57346
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | sergeymitr |
| Upload Date | March 11 2026 04:56 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2388
444.2 IPS |
|
|
Image Classification (HP)
|
100% |
19582
3.64 KIPS |
|
|
Image Classification (Q)
|
97% |
23078
4.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2480
40.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
25938
420.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
35967
583.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11671
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
183097
213.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
336681
394.6 IPS |
|
|
Object Detection (SP)
|
100% |
2868
227.5 IPS |
|
|
Object Detection (HP)
|
100% |
21858
1.73 KIPS |
|
|
Object Detection (Q)
|
91% |
27223
2.18 KIPS |
|
|
Face Detection (SP)
|
100% |
5392
64.1 IPS |
|
|
Face Detection (HP)
|
100% |
49355
586.4 IPS |
|
|
Face Detection (Q)
|
100% |
68937
819.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9546
73.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
137276
1.06 KIPS |
|
|
Depth Estimation (Q)
|
85% |
193940
1.52 KIPS |
|
|
Style Transfer (SP)
|
100% |
27479
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
287797
370.0 IPS |
|
|
Style Transfer (Q)
|
96% |
394707
509.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6055
223.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
64890
2.40 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
98709
3.64 KIPS |
|
|
Text Classification (SP)
|
100% |
2993
3.99 KIPS |
|
|
Text Classification (HP)
|
99% |
5360
7.15 KIPS |
|
|
Text Classification (Q)
|
93% |
5287
7.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
2524
43.5 IPS |
|
|
Machine Translation (HP)
|
100% |
18568
319.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18359
317.3 IPS |
