Mac16,5
Geekbench AI Score
5901
Single Precision Score
9079
Half Precision Score
7027
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | loismustdie1 |
| Upload Date | December 15 2024 11:57 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 4.49 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2101
390.6 IPS |
|
|
Image Classification (HP)
|
100% |
3021
561.8 IPS |
|
|
Image Classification (Q)
|
96% |
2147
400.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2510
40.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3571
57.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3936
63.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
19009
22.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
32253
37.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
24568
28.8 IPS |
|
|
Object Detection (SP)
|
100% |
2595
205.8 IPS |
|
|
Object Detection (HP)
|
97% |
3799
302.5 IPS |
|
|
Object Detection (Q)
|
94% |
2653
211.5 IPS |
|
|
Face Detection (SP)
|
100% |
4686
55.7 IPS |
|
|
Face Detection (HP)
|
100% |
8127
96.6 IPS |
|
|
Face Detection (Q)
|
100% |
4693
55.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8911
68.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14585
112.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10459
81.6 IPS |
|
|
Style Transfer (SP)
|
100% |
36630
47.1 IPS |
|
|
Style Transfer (HP)
|
100% |
51945
66.8 IPS |
|
|
Style Transfer (Q)
|
96% |
39355
50.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7083
261.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9822
362.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5860
216.4 IPS |
|
|
Text Classification (SP)
|
100% |
2973
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5242
7.00 KIPS |
|
|
Text Classification (Q)
|
93% |
5276
7.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
6112
105.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9083
156.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8934
154.4 IPS |
