Mac17,6
Geekbench AI Score
27422
Single Precision Score
43953
Half Precision Score
40831
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Betancd |
| Upload Date | March 17 2026 03:08 PM |
| Views | 12 |
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 | 4.31 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10708
1.99 KIPS |
|
|
Image Classification (HP)
|
100% |
13489
2.51 KIPS |
|
|
Image Classification (Q)
|
97% |
11808
2.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27821
451.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
41958
680.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
38755
628.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
130475
152.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
333965
389.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
287124
336.5 IPS |
|
|
Object Detection (SP)
|
100% |
10127
803.3 IPS |
|
|
Object Detection (HP)
|
100% |
15518
1.23 KIPS |
|
|
Object Detection (Q)
|
94% |
14825
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
49696
590.5 IPS |
|
|
Face Detection (HP)
|
100% |
71914
854.5 IPS |
|
|
Face Detection (Q)
|
100% |
64514
766.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
53226
410.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
88229
679.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
84462
659.4 IPS |
|
|
Style Transfer (SP)
|
100% |
265320
341.1 IPS |
|
|
Style Transfer (HP)
|
100% |
547074
703.3 IPS |
|
|
Style Transfer (Q)
|
96% |
607881
784.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34718
1.28 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
51697
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41666
1.54 KIPS |
|
|
Text Classification (SP)
|
100% |
3019
4.03 KIPS |
|
|
Text Classification (HP)
|
99% |
5672
7.57 KIPS |
|
|
Text Classification (Q)
|
93% |
5584
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
8306
143.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9014
155.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8580
148.3 IPS |
