Mac17,6
Geekbench AI Score
27484
Single Precision Score
44063
Half Precision Score
40805
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| Upload Date | March 06 2026 04:13 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10332
1.92 KIPS |
|
|
Image Classification (HP)
|
100% |
13784
2.56 KIPS |
|
|
Image Classification (Q)
|
97% |
11852
2.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27914
452.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
41923
679.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
39182
635.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
130543
152.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
332672
388.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
288484
338.1 IPS |
|
|
Object Detection (SP)
|
100% |
10241
812.3 IPS |
|
|
Object Detection (HP)
|
100% |
15630
1.24 KIPS |
|
|
Object Detection (Q)
|
94% |
14998
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
49117
583.6 IPS |
|
|
Face Detection (HP)
|
100% |
71045
844.2 IPS |
|
|
Face Detection (Q)
|
100% |
62701
745.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
53505
412.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
88150
679.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
84122
656.8 IPS |
|
|
Style Transfer (SP)
|
100% |
265171
340.9 IPS |
|
|
Style Transfer (HP)
|
100% |
551934
709.5 IPS |
|
|
Style Transfer (Q)
|
96% |
604312
779.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34823
1.29 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
51580
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41962
1.55 KIPS |
|
|
Text Classification (SP)
|
100% |
3059
4.08 KIPS |
|
|
Text Classification (HP)
|
99% |
5559
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5497
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
8593
148.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9266
159.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8664
149.7 IPS |
