Mac16,1
Geekbench AI Score
4719
Single Precision Score
7790
Half Precision Score
6282
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | burakozaydin |
| Upload Date | November 09 2024 03:54 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| Model | Mac16,1 |
| Model ID | Mac16,1 |
| Motherboard | Mac16,1 |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2005
372.9 IPS |
|
|
Image Classification (HP)
|
100% |
3297
613.2 IPS |
|
|
Image Classification (Q)
|
96% |
2331
435.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2189
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3419
55.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3707
60.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9850
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18982
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16454
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2273
180.3 IPS |
|
|
Object Detection (HP)
|
97% |
3796
302.2 IPS |
|
|
Object Detection (Q)
|
94% |
2728
217.5 IPS |
|
|
Face Detection (SP)
|
100% |
3884
46.2 IPS |
|
|
Face Detection (HP)
|
100% |
7269
86.4 IPS |
|
|
Face Detection (Q)
|
100% |
4369
51.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8300
63.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14655
113.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10219
79.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25185
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38506
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31779
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5865
216.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6764
249.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4814
177.7 IPS |
|
|
Text Classification (SP)
|
100% |
3017
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
5438
7.26 KIPS |
|
|
Text Classification (Q)
|
93% |
5371
7.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3885
66.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6720
116.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6733
116.4 IPS |
