Mac16,8
Geekbench AI Score
5769
Single Precision Score
8859
Half Precision Score
6837
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | coryholt |
| Upload Date | January 07 2025 10:27 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | Mac16,8 |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2091
388.9 IPS |
|
|
Image Classification (HP)
|
100% |
3054
568.0 IPS |
|
|
Image Classification (Q)
|
96% |
2203
411.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2518
40.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3533
57.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3916
63.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18841
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
30925
36.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
23738
27.8 IPS |
|
|
Object Detection (SP)
|
100% |
2470
195.9 IPS |
|
|
Object Detection (HP)
|
97% |
3833
305.1 IPS |
|
|
Object Detection (Q)
|
94% |
2671
212.9 IPS |
|
|
Face Detection (SP)
|
100% |
4506
53.5 IPS |
|
|
Face Detection (HP)
|
100% |
7843
93.2 IPS |
|
|
Face Detection (Q)
|
100% |
4604
54.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8839
68.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14284
110.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10202
79.6 IPS |
|
|
Style Transfer (SP)
|
100% |
35576
45.7 IPS |
|
|
Style Transfer (HP)
|
100% |
48220
62.0 IPS |
|
|
Style Transfer (Q)
|
96% |
37982
49.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7053
260.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9485
350.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5259
194.2 IPS |
|
|
Text Classification (SP)
|
100% |
2927
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5257
7.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5080
6.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
5703
98.2 IPS |
|
|
Machine Translation (HP)
|
98% |
8648
149.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8563
148.0 IPS |
