Mac16,10
Geekbench AI Score
4681
Single Precision Score
7800
Half Precision Score
6280
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | icreatefrance |
| Upload Date | November 13 2024 01:23 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2082) |
| 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% |
2018
375.3 IPS |
|
|
Image Classification (HP)
|
100% |
3307
615.0 IPS |
|
|
Image Classification (Q)
|
96% |
2313
431.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2107
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3135
50.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3626
58.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9963
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18424
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16541
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2296
182.1 IPS |
|
|
Object Detection (HP)
|
97% |
3690
293.8 IPS |
|
|
Object Detection (Q)
|
94% |
2612
208.2 IPS |
|
|
Face Detection (SP)
|
100% |
3967
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
7688
91.4 IPS |
|
|
Face Detection (Q)
|
100% |
4502
53.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8079
62.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14342
110.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10300
80.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25279
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38925
50.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30769
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5557
205.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6932
255.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4802
177.3 IPS |
|
|
Text Classification (SP)
|
100% |
2987
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5534
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5560
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3865
66.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7191
124.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6919
119.6 IPS |
