iMac (24-inch, 2024)
Geekbench AI Score
4708
Single Precision Score
7774
Half Precision Score
6283
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 01 2025 12:36 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | iMac (24-inch, 2024) |
| Model ID | Mac16,3 |
| Motherboard | Mac16,3 |
| 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% |
2012
374.2 IPS |
|
|
Image Classification (HP)
|
100% |
3284
610.8 IPS |
|
|
Image Classification (Q)
|
96% |
2316
432.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2089
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3192
51.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3637
59.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9889
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19003
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16491
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2274
180.4 IPS |
|
|
Object Detection (HP)
|
97% |
3751
298.6 IPS |
|
|
Object Detection (Q)
|
94% |
2698
215.1 IPS |
|
|
Face Detection (SP)
|
100% |
3854
45.8 IPS |
|
|
Face Detection (HP)
|
100% |
7459
88.6 IPS |
|
|
Face Detection (Q)
|
100% |
4386
52.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8328
64.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14657
113.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10221
79.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25238
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38068
48.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31666
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5887
217.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6811
251.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4765
176.0 IPS |
|
|
Text Classification (SP)
|
100% |
3002
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5450
7.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5385
7.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3962
68.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6991
120.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7032
121.5 IPS |
