Mac16,9
Geekbench AI Score
5985
Single Precision Score
9189
Half Precision Score
7077
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | deltron76 |
| Upload Date | March 30 2025 07:11 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D2082) |
| Model | Mac16,9 |
| Model ID | Mac16,9 |
| Motherboard | Mac16,9 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2135
397.1 IPS |
|
|
Image Classification (HP)
|
100% |
3068
570.5 IPS |
|
|
Image Classification (Q)
|
96% |
2205
411.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2539
41.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3629
58.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3989
64.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
19200
22.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
32620
38.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
25029
29.3 IPS |
|
|
Object Detection (SP)
|
100% |
2590
205.5 IPS |
|
|
Object Detection (HP)
|
97% |
3902
310.6 IPS |
|
|
Object Detection (Q)
|
94% |
2700
215.2 IPS |
|
|
Face Detection (SP)
|
100% |
4796
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
8123
96.5 IPS |
|
|
Face Detection (Q)
|
100% |
4727
56.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9138
70.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
15091
116.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10538
82.3 IPS |
|
|
Style Transfer (SP)
|
100% |
37461
48.2 IPS |
|
|
Style Transfer (HP)
|
100% |
51935
66.8 IPS |
|
|
Style Transfer (Q)
|
96% |
40245
51.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7246
267.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9623
355.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5345
197.4 IPS |
|
|
Text Classification (SP)
|
100% |
2965
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5429
7.25 KIPS |
|
|
Text Classification (Q)
|
93% |
5443
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
6208
106.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9110
157.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9096
157.2 IPS |
