Mac16,5
Geekbench AI Score
5950
Single Precision Score
9127
Half Precision Score
7039
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | idanbo |
| Upload Date | November 22 2024 05:48 AM |
| Views | 2 |
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 | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2129
395.9 IPS |
|
|
Image Classification (HP)
|
100% |
3078
572.4 IPS |
|
|
Image Classification (Q)
|
96% |
2207
412.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2564
41.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3598
58.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3997
64.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
19180
22.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
31913
37.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
24860
29.1 IPS |
|
|
Object Detection (SP)
|
100% |
2573
204.1 IPS |
|
|
Object Detection (HP)
|
97% |
3883
309.2 IPS |
|
|
Object Detection (Q)
|
94% |
2688
214.3 IPS |
|
|
Face Detection (SP)
|
100% |
4774
56.7 IPS |
|
|
Face Detection (HP)
|
100% |
8062
95.8 IPS |
|
|
Face Detection (Q)
|
100% |
4720
56.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8983
69.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14625
113.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10338
80.7 IPS |
|
|
Style Transfer (SP)
|
100% |
37235
47.9 IPS |
|
|
Style Transfer (HP)
|
100% |
52945
68.1 IPS |
|
|
Style Transfer (Q)
|
96% |
39497
51.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7239
267.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9616
355.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5381
198.7 IPS |
|
|
Text Classification (SP)
|
100% |
2976
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5386
7.19 KIPS |
|
|
Text Classification (Q)
|
93% |
5370
7.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
6006
103.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9044
156.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9098
157.2 IPS |
