iMac (24-inch, 2024)
Geekbench AI Score
4727
Single Precision Score
7781
Half Precision Score
6283
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 12 2024 11:34 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| Model | iMac (24-inch, 2024) |
| Model ID | Mac16,2 |
| Motherboard | Mac16,2 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2020
375.6 IPS |
|
|
Image Classification (HP)
|
100% |
3319
617.2 IPS |
|
|
Image Classification (Q)
|
96% |
2330
435.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2072
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3140
50.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3599
58.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9876
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19015
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16446
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2276
180.6 IPS |
|
|
Object Detection (HP)
|
97% |
3774
300.5 IPS |
|
|
Object Detection (Q)
|
94% |
2694
214.7 IPS |
|
|
Face Detection (SP)
|
100% |
3878
46.1 IPS |
|
|
Face Detection (HP)
|
100% |
7403
88.0 IPS |
|
|
Face Detection (Q)
|
100% |
4374
52.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8298
63.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14631
113.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10185
79.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25071
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38219
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31601
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5906
218.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6819
251.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4789
176.8 IPS |
|
|
Text Classification (SP)
|
100% |
3143
4.20 KIPS |
|
|
Text Classification (HP)
|
100% |
5585
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5465
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3955
68.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6905
119.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7007
121.1 IPS |
