Mac16,6
Geekbench AI Score
5876
Single Precision Score
9116
Half Precision Score
7048
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Caraveo |
| Upload Date | November 11 2024 10:23 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| Model | Mac16,6 |
| Model ID | Mac16,6 |
| Motherboard | Mac16,6 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2129
395.9 IPS |
|
|
Image Classification (HP)
|
100% |
3096
575.7 IPS |
|
|
Image Classification (Q)
|
96% |
2206
412.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2490
40.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3625
58.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3954
64.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
19112
22.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
31263
36.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
24822
29.1 IPS |
|
|
Object Detection (SP)
|
100% |
2499
198.2 IPS |
|
|
Object Detection (HP)
|
97% |
3867
307.9 IPS |
|
|
Object Detection (Q)
|
94% |
2688
214.3 IPS |
|
|
Face Detection (SP)
|
100% |
4668
55.5 IPS |
|
|
Face Detection (HP)
|
100% |
8034
95.5 IPS |
|
|
Face Detection (Q)
|
100% |
4617
54.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9071
69.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14849
114.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10401
81.2 IPS |
|
|
Style Transfer (SP)
|
100% |
36012
46.3 IPS |
|
|
Style Transfer (HP)
|
100% |
50291
64.7 IPS |
|
|
Style Transfer (Q)
|
96% |
39600
51.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7119
262.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9797
361.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5435
200.7 IPS |
|
|
Text Classification (SP)
|
100% |
2998
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5496
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5512
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
5963
102.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9050
156.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9130
157.8 IPS |
