Mac16,9
Geekbench AI Score
5553
Single Precision Score
9274
Half Precision Score
7786
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | April 23 2025 08:21 PM |
| Views | 2 |
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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2105
391.5 IPS |
|
|
Image Classification (HP)
|
100% |
3112
578.7 IPS |
|
|
Image Classification (Q)
|
99% |
3102
578.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2402
38.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3675
59.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
3653
59.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
17977
21.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
31529
36.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
23974
28.1 IPS |
|
|
Object Detection (SP)
|
100% |
2545
201.8 IPS |
|
|
Object Detection (HP)
|
97% |
3889
309.6 IPS |
|
|
Object Detection (Q)
|
94% |
2706
215.7 IPS |
|
|
Face Detection (SP)
|
100% |
4835
57.4 IPS |
|
|
Face Detection (HP)
|
100% |
7956
94.5 IPS |
|
|
Face Detection (Q)
|
100% |
4701
55.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8820
67.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
15149
117.1 IPS |
|
|
Depth Estimation (Q)
|
96% |
14691
113.6 IPS |
|
|
Style Transfer (SP)
|
100% |
26216
33.7 IPS |
|
|
Style Transfer (HP)
|
100% |
52928
68.0 IPS |
|
|
Style Transfer (Q)
|
100% |
52619
67.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6104
225.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10246
378.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6006
222.5 IPS |
|
|
Text Classification (SP)
|
100% |
2947
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5422
7.24 KIPS |
|
|
Text Classification (Q)
|
93% |
5390
7.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
6001
103.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9472
163.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9473
163.7 IPS |
