Mac16,8
Geekbench AI Score
5794
Single Precision Score
8908
Half Precision Score
6899
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 21 2024 03:45 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| 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 | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2078
386.5 IPS |
|
|
Image Classification (HP)
|
100% |
3046
566.5 IPS |
|
|
Image Classification (Q)
|
96% |
2197
410.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2494
40.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3548
57.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3917
63.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18844
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
30719
35.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
23873
28.0 IPS |
|
|
Object Detection (SP)
|
100% |
2494
197.8 IPS |
|
|
Object Detection (HP)
|
97% |
3854
306.8 IPS |
|
|
Object Detection (Q)
|
94% |
2671
212.9 IPS |
|
|
Face Detection (SP)
|
100% |
4570
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
7960
94.6 IPS |
|
|
Face Detection (Q)
|
100% |
4697
55.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8860
68.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14423
111.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10131
79.1 IPS |
|
|
Style Transfer (SP)
|
100% |
35854
46.1 IPS |
|
|
Style Transfer (HP)
|
100% |
47912
61.6 IPS |
|
|
Style Transfer (Q)
|
96% |
38880
50.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7017
259.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9550
352.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5220
192.8 IPS |
|
|
Text Classification (SP)
|
100% |
2951
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5299
7.07 KIPS |
|
|
Text Classification (Q)
|
93% |
5248
7.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
5826
100.3 IPS |
|
|
Machine Translation (HP)
|
98% |
8838
152.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8794
152.0 IPS |
