Mac16,8
Geekbench AI Score
5799
Single Precision Score
8859
Half Precision Score
6873
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Jayfries |
| Upload Date | November 14 2024 11:22 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2082) |
| Model | Mac16,8 |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2081
387.1 IPS |
|
|
Image Classification (HP)
|
100% |
3035
564.4 IPS |
|
|
Image Classification (Q)
|
96% |
2197
410.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2527
41.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3509
56.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3912
63.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18841
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
30151
35.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
23376
27.4 IPS |
|
|
Object Detection (SP)
|
100% |
2492
197.6 IPS |
|
|
Object Detection (HP)
|
97% |
3828
304.7 IPS |
|
|
Object Detection (Q)
|
94% |
2653
211.5 IPS |
|
|
Face Detection (SP)
|
100% |
4573
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
7814
92.8 IPS |
|
|
Face Detection (Q)
|
100% |
4671
55.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8832
68.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14137
109.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10123
79.0 IPS |
|
|
Style Transfer (SP)
|
100% |
35827
46.1 IPS |
|
|
Style Transfer (HP)
|
100% |
49921
64.2 IPS |
|
|
Style Transfer (Q)
|
96% |
38829
50.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7023
259.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9527
351.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5264
194.4 IPS |
|
|
Text Classification (SP)
|
100% |
2959
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5244
7.00 KIPS |
|
|
Text Classification (Q)
|
93% |
5155
6.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
5800
99.9 IPS |
|
|
Machine Translation (HP)
|
98% |
8799
152.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8868
153.2 IPS |
