Mac16,5
Geekbench AI Score
5957
Single Precision Score
9142
Half Precision Score
7062
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Heinsen |
| Upload Date | November 11 2024 12:35 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| 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% |
2122
394.6 IPS |
|
|
Image Classification (HP)
|
100% |
3081
572.9 IPS |
|
|
Image Classification (Q)
|
96% |
2211
412.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2550
41.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3568
57.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3971
64.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
19195
22.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
32080
37.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
24851
29.1 IPS |
|
|
Object Detection (SP)
|
100% |
2580
204.7 IPS |
|
|
Object Detection (HP)
|
97% |
3881
309.0 IPS |
|
|
Object Detection (Q)
|
94% |
2706
215.7 IPS |
|
|
Face Detection (SP)
|
100% |
4871
57.9 IPS |
|
|
Face Detection (HP)
|
100% |
8069
95.9 IPS |
|
|
Face Detection (Q)
|
100% |
4683
55.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8971
69.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14959
115.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10558
82.4 IPS |
|
|
Style Transfer (SP)
|
100% |
36979
47.5 IPS |
|
|
Style Transfer (HP)
|
100% |
53003
68.1 IPS |
|
|
Style Transfer (Q)
|
96% |
40042
51.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7150
264.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9544
352.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5431
200.5 IPS |
|
|
Text Classification (SP)
|
100% |
2982
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5355
7.15 KIPS |
|
|
Text Classification (Q)
|
93% |
5337
7.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
6104
105.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9113
157.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9115
157.5 IPS |
