iMac (24-inch, 2024)
Geekbench AI Score
4698
Single Precision Score
7741
Half Precision Score
6267
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 02 2025 09:21 PM |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2021
375.8 IPS |
|
|
Image Classification (HP)
|
100% |
3272
608.4 IPS |
|
|
Image Classification (Q)
|
96% |
2305
430.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2061
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3177
51.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3596
58.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9887
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18975
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16474
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2272
180.2 IPS |
|
|
Object Detection (HP)
|
97% |
3776
300.6 IPS |
|
|
Object Detection (Q)
|
94% |
2706
215.7 IPS |
|
|
Face Detection (SP)
|
100% |
3864
45.9 IPS |
|
|
Face Detection (HP)
|
100% |
7284
86.6 IPS |
|
|
Face Detection (Q)
|
100% |
4385
52.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8295
63.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14658
113.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10216
79.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25128
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38188
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31605
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5870
216.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6868
253.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4763
175.9 IPS |
|
|
Text Classification (SP)
|
100% |
3035
4.05 KIPS |
|
|
Text Classification (HP)
|
100% |
5396
7.20 KIPS |
|
|
Text Classification (Q)
|
93% |
5490
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3903
67.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6870
118.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6841
118.2 IPS |
