Mac16,9
Geekbench AI Score
5978
Single Precision Score
9206
Half Precision Score
7057
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | kairos |
| Upload Date | March 27 2025 01:52 PM |
| Views | 11 |
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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2134
396.8 IPS |
|
|
Image Classification (HP)
|
100% |
3068
570.5 IPS |
|
|
Image Classification (Q)
|
96% |
2197
410.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2540
41.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3617
58.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3974
64.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
19264
22.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
32348
37.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
25009
29.3 IPS |
|
|
Object Detection (SP)
|
100% |
2591
205.5 IPS |
|
|
Object Detection (HP)
|
97% |
3888
309.5 IPS |
|
|
Object Detection (Q)
|
94% |
2694
214.7 IPS |
|
|
Face Detection (SP)
|
100% |
4788
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
8140
96.7 IPS |
|
|
Face Detection (Q)
|
100% |
4683
55.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9117
70.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
15015
116.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10359
80.9 IPS |
|
|
Style Transfer (SP)
|
100% |
37195
47.8 IPS |
|
|
Style Transfer (HP)
|
100% |
54042
69.5 IPS |
|
|
Style Transfer (Q)
|
96% |
40217
51.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7255
267.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9684
357.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5417
200.0 IPS |
|
|
Text Classification (SP)
|
100% |
2974
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5399
7.21 KIPS |
|
|
Text Classification (Q)
|
93% |
5437
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
6156
106.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9074
156.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9064
156.6 IPS |
