Mac17,6
Geekbench AI Score
27402
Single Precision Score
43985
Half Precision Score
40946
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | sergeymitr |
| Upload Date | March 11 2026 04:54 PM |
| Views | 6 |
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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10328
1.92 KIPS |
|
|
Image Classification (HP)
|
100% |
13386
2.49 KIPS |
|
|
Image Classification (Q)
|
97% |
11831
2.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
28011
454.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
42182
683.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
39022
632.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
130655
152.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
335912
392.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
289344
339.1 IPS |
|
|
Object Detection (SP)
|
100% |
10107
801.7 IPS |
|
|
Object Detection (HP)
|
100% |
15810
1.25 KIPS |
|
|
Object Detection (Q)
|
94% |
14878
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
49445
587.5 IPS |
|
|
Face Detection (HP)
|
100% |
72078
856.4 IPS |
|
|
Face Detection (Q)
|
100% |
64940
771.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
53435
411.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
88116
678.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
86532
675.6 IPS |
|
|
Style Transfer (SP)
|
100% |
264985
340.6 IPS |
|
|
Style Transfer (HP)
|
100% |
550738
708.0 IPS |
|
|
Style Transfer (Q)
|
96% |
602281
777.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34830
1.29 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
51629
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41771
1.54 KIPS |
|
|
Text Classification (SP)
|
100% |
2979
3.98 KIPS |
|
|
Text Classification (HP)
|
99% |
5431
7.25 KIPS |
|
|
Text Classification (Q)
|
93% |
5434
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
8602
148.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9217
158.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8677
149.9 IPS |
