Mac16,9
Geekbench AI Score
5566
Single Precision Score
9276
Half Precision Score
7099
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 25 2025 04:11 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 | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2137
397.5 IPS |
|
|
Image Classification (HP)
|
100% |
3105
577.5 IPS |
|
|
Image Classification (Q)
|
96% |
2210
412.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2350
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3591
58.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3905
63.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17896
20.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
33112
38.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
25087
29.4 IPS |
|
|
Object Detection (SP)
|
100% |
2612
207.2 IPS |
|
|
Object Detection (HP)
|
97% |
3928
312.7 IPS |
|
|
Object Detection (Q)
|
94% |
2715
216.4 IPS |
|
|
Face Detection (SP)
|
100% |
4834
57.4 IPS |
|
|
Face Detection (HP)
|
100% |
8030
95.4 IPS |
|
|
Face Detection (Q)
|
100% |
4702
55.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8726
67.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
15297
118.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10415
81.3 IPS |
|
|
Style Transfer (SP)
|
100% |
26245
33.7 IPS |
|
|
Style Transfer (HP)
|
100% |
54363
69.9 IPS |
|
|
Style Transfer (Q)
|
96% |
40391
52.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6117
225.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10238
378.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5785
213.6 IPS |
|
|
Text Classification (SP)
|
100% |
2936
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5343
7.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5405
7.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
6125
105.5 IPS |
|
|
Machine Translation (HP)
|
98% |
8910
154.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8950
154.7 IPS |
