Mac16,9
Geekbench AI Score
5556
Single Precision Score
32182
Half Precision Score
40100
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | April 23 2025 08:26 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2110
392.4 IPS |
|
|
Image Classification (HP)
|
100% |
17188
3.20 KIPS |
|
|
Image Classification (Q)
|
99% |
17919
3.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2401
38.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
17371
281.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
17259
279.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
17806
20.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
119223
139.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
223305
261.9 IPS |
|
|
Object Detection (SP)
|
100% |
2548
202.1 IPS |
|
|
Object Detection (HP)
|
100% |
17414
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
24937
1.99 KIPS |
|
|
Face Detection (SP)
|
100% |
4810
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
27065
321.6 IPS |
|
|
Face Detection (Q)
|
100% |
46071
547.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8825
68.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
89166
687.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
93206
720.7 IPS |
|
|
Style Transfer (SP)
|
100% |
26625
34.2 IPS |
|
|
Style Transfer (HP)
|
100% |
167807
215.7 IPS |
|
|
Style Transfer (Q)
|
100% |
167593
215.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6095
225.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45920
1.70 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
78278
2.90 KIPS |
|
|
Text Classification (SP)
|
100% |
2949
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
6076
8.11 KIPS |
|
|
Text Classification (Q)
|
93% |
6511
8.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
6014
103.6 IPS |
|
|
Machine Translation (HP)
|
100% |
17015
293.1 IPS |
|
|
Machine Translation (Q)
|
98% |
17022
294.2 IPS |
