Mac16,10
Geekbench AI Score
4703
Single Precision Score
7780
Half Precision Score
6308
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | paulofduarte |
| Upload Date | November 14 2024 02:45 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5079e) |
| Model | Mac16,10 |
| Model ID | Mac16,10 |
| Motherboard | Mac16,10 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2026
376.9 IPS |
|
|
Image Classification (HP)
|
100% |
3283
610.5 IPS |
|
|
Image Classification (Q)
|
96% |
2316
432.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2061
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3232
52.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3611
58.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10041
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19034
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16575
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2302
182.6 IPS |
|
|
Object Detection (HP)
|
97% |
3783
301.2 IPS |
|
|
Object Detection (Q)
|
94% |
2742
218.6 IPS |
|
|
Face Detection (SP)
|
100% |
3973
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
7507
89.2 IPS |
|
|
Face Detection (Q)
|
100% |
4464
53.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8399
64.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14853
114.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10367
80.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25334
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38522
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
32028
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5743
212.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6945
256.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4778
176.4 IPS |
|
|
Text Classification (SP)
|
100% |
2902
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
5234
6.99 KIPS |
|
|
Text Classification (Q)
|
93% |
5303
7.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3900
67.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6812
117.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6998
120.9 IPS |
