Mac16,9
Geekbench AI Score
5619
Single Precision Score
9245
Half Precision Score
7155
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | kgmartin |
| Upload Date | April 22 2025 02:19 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
2126
395.3 IPS |
|
|
Image Classification (HP)
|
100% |
3064
569.8 IPS |
|
|
Image Classification (Q)
|
96% |
2183
407.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2362
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3517
57.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3938
63.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
18289
21.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
33042
38.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
24933
29.2 IPS |
|
|
Object Detection (SP)
|
100% |
2631
208.7 IPS |
|
|
Object Detection (HP)
|
97% |
3892
309.9 IPS |
|
|
Object Detection (Q)
|
94% |
2696
214.9 IPS |
|
|
Face Detection (SP)
|
100% |
4901
58.2 IPS |
|
|
Face Detection (HP)
|
100% |
7999
95.0 IPS |
|
|
Face Detection (Q)
|
100% |
4692
55.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8831
68.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
15072
116.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10525
82.2 IPS |
|
|
Style Transfer (SP)
|
100% |
26738
34.4 IPS |
|
|
Style Transfer (HP)
|
100% |
53468
68.7 IPS |
|
|
Style Transfer (Q)
|
96% |
39945
51.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6095
225.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10139
374.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6158
227.4 IPS |
|
|
Text Classification (SP)
|
100% |
2965
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5354
7.15 KIPS |
|
|
Text Classification (Q)
|
93% |
5312
7.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
6213
107.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9409
162.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9431
163.0 IPS |
