Mac16,5
Geekbench AI Score
5959
Single Precision Score
9105
Half Precision Score
7024
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | coreylista |
| Upload Date | November 15 2024 04:35 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5079e) |
| 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 | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2132
396.4 IPS |
|
|
Image Classification (HP)
|
100% |
3059
568.9 IPS |
|
|
Image Classification (Q)
|
96% |
2197
410.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2543
41.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3572
57.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3984
64.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
19230
22.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
31590
36.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
25082
29.4 IPS |
|
|
Object Detection (SP)
|
100% |
2576
204.3 IPS |
|
|
Object Detection (HP)
|
97% |
3838
305.5 IPS |
|
|
Object Detection (Q)
|
94% |
2681
213.7 IPS |
|
|
Face Detection (SP)
|
100% |
4822
57.3 IPS |
|
|
Face Detection (HP)
|
100% |
8139
96.7 IPS |
|
|
Face Detection (Q)
|
100% |
4702
55.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9045
69.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14947
115.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10440
81.5 IPS |
|
|
Style Transfer (SP)
|
100% |
37094
47.7 IPS |
|
|
Style Transfer (HP)
|
100% |
53195
68.4 IPS |
|
|
Style Transfer (Q)
|
96% |
40172
51.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7232
267.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9762
360.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5414
199.9 IPS |
|
|
Text Classification (SP)
|
100% |
2939
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5234
6.99 KIPS |
|
|
Text Classification (Q)
|
93% |
5156
6.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
6119
105.4 IPS |
|
|
Machine Translation (HP)
|
98% |
8946
154.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9025
156.0 IPS |
