Mac16,9
Geekbench AI Score
5994
Single Precision Score
9211
Half Precision Score
7044
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | i0ntempest |
| Upload Date | March 14 2025 10:54 AM |
| Views | 15 |
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 | 4.49 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2142
398.4 IPS |
|
|
Image Classification (HP)
|
100% |
3070
570.8 IPS |
|
|
Image Classification (Q)
|
96% |
2186
408.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2567
41.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3612
58.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3993
64.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
19165
22.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
32566
38.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
24950
29.2 IPS |
|
|
Object Detection (SP)
|
100% |
2568
203.7 IPS |
|
|
Object Detection (HP)
|
97% |
3888
309.5 IPS |
|
|
Object Detection (Q)
|
94% |
2706
215.7 IPS |
|
|
Face Detection (SP)
|
100% |
4817
57.2 IPS |
|
|
Face Detection (HP)
|
100% |
8183
97.2 IPS |
|
|
Face Detection (Q)
|
100% |
4680
55.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9134
70.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14760
114.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10383
81.0 IPS |
|
|
Style Transfer (SP)
|
100% |
37563
48.3 IPS |
|
|
Style Transfer (HP)
|
100% |
54388
69.9 IPS |
|
|
Style Transfer (Q)
|
96% |
39714
51.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7246
267.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9666
356.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5381
198.7 IPS |
|
|
Text Classification (SP)
|
100% |
3001
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5423
7.24 KIPS |
|
|
Text Classification (Q)
|
93% |
5411
7.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
6164
106.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9099
157.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9094
157.2 IPS |
