Mac16,5
Geekbench AI Score
5993
Single Precision Score
9205
Half Precision Score
7050
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | puttin |
| Upload Date | November 12 2024 04:27 PM |
| Views | 6 |
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% |
2142
398.3 IPS |
|
|
Image Classification (HP)
|
100% |
3083
573.4 IPS |
|
|
Image Classification (Q)
|
96% |
2186
408.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2548
41.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3629
58.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3944
63.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
19265
22.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
32060
37.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
24872
29.2 IPS |
|
|
Object Detection (SP)
|
100% |
2603
206.5 IPS |
|
|
Object Detection (HP)
|
97% |
3906
310.9 IPS |
|
|
Object Detection (Q)
|
94% |
2713
216.2 IPS |
|
|
Face Detection (SP)
|
100% |
4821
57.3 IPS |
|
|
Face Detection (HP)
|
100% |
8185
97.3 IPS |
|
|
Face Detection (Q)
|
100% |
4729
56.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9121
70.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
15078
116.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10533
82.2 IPS |
|
|
Style Transfer (SP)
|
100% |
37256
47.9 IPS |
|
|
Style Transfer (HP)
|
100% |
53748
69.1 IPS |
|
|
Style Transfer (Q)
|
96% |
40156
51.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7304
269.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9567
353.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5397
199.3 IPS |
|
|
Text Classification (SP)
|
100% |
2972
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5427
7.24 KIPS |
|
|
Text Classification (Q)
|
93% |
5391
7.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
6149
105.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9058
156.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8967
155.0 IPS |
