Mac16,5
Geekbench AI Score
5984
Single Precision Score
9194
Half Precision Score
7050
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | jayabee |
| Upload Date | November 09 2024 04:47 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| 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% |
2158
401.3 IPS |
|
|
Image Classification (HP)
|
100% |
3089
574.4 IPS |
|
|
Image Classification (Q)
|
96% |
2196
410.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2611
42.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3683
59.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3947
64.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
19283
22.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
32399
37.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
24898
29.2 IPS |
|
|
Object Detection (SP)
|
100% |
2565
203.5 IPS |
|
|
Object Detection (HP)
|
97% |
3909
311.2 IPS |
|
|
Object Detection (Q)
|
94% |
2702
215.4 IPS |
|
|
Face Detection (SP)
|
100% |
4763
56.6 IPS |
|
|
Face Detection (HP)
|
100% |
8142
96.7 IPS |
|
|
Face Detection (Q)
|
100% |
4737
56.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9071
69.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14951
115.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10477
81.8 IPS |
|
|
Style Transfer (SP)
|
100% |
36935
47.5 IPS |
|
|
Style Transfer (HP)
|
100% |
52652
67.7 IPS |
|
|
Style Transfer (Q)
|
96% |
39714
51.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7272
268.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9649
356.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5500
203.1 IPS |
|
|
Text Classification (SP)
|
100% |
2987
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5414
7.23 KIPS |
|
|
Text Classification (Q)
|
93% |
5389
7.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
6096
105.0 IPS |
|
|
Machine Translation (HP)
|
98% |
8953
154.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8905
153.9 IPS |
