Mac16,5
Geekbench AI Score
5617
Single Precision Score
9313
Half Precision Score
7194
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Bubeli |
| Upload Date | April 06 2025 07:35 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| Model | Mac16,5 |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| 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% |
2129
396.0 IPS |
|
|
Image Classification (HP)
|
100% |
3089
574.4 IPS |
|
|
Image Classification (Q)
|
96% |
2203
411.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2359
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3525
57.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3933
63.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
18057
21.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
32520
37.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
24924
29.2 IPS |
|
|
Object Detection (SP)
|
100% |
2608
206.9 IPS |
|
|
Object Detection (HP)
|
97% |
3948
314.3 IPS |
|
|
Object Detection (Q)
|
94% |
2715
216.4 IPS |
|
|
Face Detection (SP)
|
100% |
4909
58.3 IPS |
|
|
Face Detection (HP)
|
100% |
8004
95.1 IPS |
|
|
Face Detection (Q)
|
100% |
4737
56.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8918
68.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
15450
119.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10589
82.6 IPS |
|
|
Style Transfer (SP)
|
100% |
26836
34.5 IPS |
|
|
Style Transfer (HP)
|
100% |
52794
67.9 IPS |
|
|
Style Transfer (Q)
|
96% |
40092
51.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6208
229.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10245
378.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6067
224.0 IPS |
|
|
Text Classification (SP)
|
100% |
2953
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5433
7.25 KIPS |
|
|
Text Classification (Q)
|
93% |
5429
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
6144
105.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9662
166.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9562
165.3 IPS |
