Mac17,6
Geekbench AI Score
5457
Single Precision Score
47906
Half Precision Score
64528
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | geekgrunt |
| Upload Date | March 26 2026 01:49 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2352
437.4 IPS |
|
|
Image Classification (HP)
|
100% |
20944
3.89 KIPS |
|
|
Image Classification (Q)
|
97% |
26301
4.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2492
40.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
26367
427.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
37743
611.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10097
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
184189
214.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
336586
394.5 IPS |
|
|
Object Detection (SP)
|
100% |
2906
230.5 IPS |
|
|
Object Detection (HP)
|
100% |
23530
1.87 KIPS |
|
|
Object Detection (Q)
|
89% |
28800
2.31 KIPS |
|
|
Face Detection (SP)
|
100% |
5739
68.2 IPS |
|
|
Face Detection (HP)
|
100% |
51963
617.4 IPS |
|
|
Face Detection (Q)
|
100% |
79502
944.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9240
71.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
141338
1.09 KIPS |
|
|
Depth Estimation (Q)
|
85% |
228349
1.78 KIPS |
|
|
Style Transfer (SP)
|
100% |
25281
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
290564
373.5 IPS |
|
|
Style Transfer (Q)
|
96% |
367313
474.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5836
215.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
67444
2.49 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
103369
3.82 KIPS |
|
|
Text Classification (SP)
|
99% |
6083
8.12 KIPS |
|
|
Text Classification (HP)
|
99% |
9756
13.0 KIPS |
|
|
Text Classification (Q)
|
93% |
10057
13.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
2866
49.4 IPS |
|
|
Machine Translation (HP)
|
100% |
18948
326.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18766
324.3 IPS |
