Mac16,5
Geekbench AI Score
5868
Single Precision Score
8960
Half Precision Score
6856
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | ootoo |
| Upload Date | November 12 2024 10:27 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2082) |
| 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 | 4.38 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2103
391.1 IPS |
|
|
Image Classification (HP)
|
100% |
3005
558.9 IPS |
|
|
Image Classification (Q)
|
96% |
2123
396.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2488
40.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3510
56.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3868
62.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
19254
22.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
31558
36.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
24259
28.4 IPS |
|
|
Object Detection (SP)
|
100% |
2573
204.1 IPS |
|
|
Object Detection (HP)
|
97% |
3817
303.9 IPS |
|
|
Object Detection (Q)
|
94% |
2707
215.8 IPS |
|
|
Face Detection (SP)
|
100% |
4590
54.5 IPS |
|
|
Face Detection (HP)
|
100% |
7824
93.0 IPS |
|
|
Face Detection (Q)
|
100% |
4457
53.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8808
67.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14380
111.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9871
77.0 IPS |
|
|
Style Transfer (SP)
|
100% |
37008
47.6 IPS |
|
|
Style Transfer (HP)
|
100% |
50883
65.4 IPS |
|
|
Style Transfer (Q)
|
96% |
38610
49.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7096
262.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9677
357.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5299
195.7 IPS |
|
|
Text Classification (SP)
|
100% |
2961
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5325
7.11 KIPS |
|
|
Text Classification (Q)
|
93% |
5282
7.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
5945
102.4 IPS |
|
|
Machine Translation (HP)
|
98% |
8899
153.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8954
154.7 IPS |
