iMac (24-inch, 2023)
Geekbench AI Score
3974
Single Precision Score
6833
Half Precision Score
5625
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | techidiot |
| Upload Date | August 26 2025 06:59 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| Model | iMac (24-inch, 2023) |
| Model ID | Mac15,4 |
| Motherboard | Mac15,4 |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M3 |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1525
283.6 IPS |
|
|
Image Classification (HP)
|
100% |
2616
486.5 IPS |
|
|
Image Classification (Q)
|
96% |
2033
379.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1831
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2850
46.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3208
52.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8549
9.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
16994
19.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14615
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
1766
140.1 IPS |
|
|
Object Detection (HP)
|
97% |
3194
254.3 IPS |
|
|
Object Detection (Q)
|
94% |
2331
185.8 IPS |
|
|
Face Detection (SP)
|
100% |
3428
40.7 IPS |
|
|
Face Detection (HP)
|
100% |
6443
76.6 IPS |
|
|
Face Detection (Q)
|
100% |
3854
45.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6974
53.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
12767
98.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8764
68.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21855
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32596
41.9 IPS |
|
|
Style Transfer (Q)
|
96% |
28481
36.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4634
171.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6116
225.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4462
164.8 IPS |
|
|
Text Classification (SP)
|
100% |
3037
4.05 KIPS |
|
|
Text Classification (HP)
|
100% |
5389
7.19 KIPS |
|
|
Text Classification (Q)
|
93% |
5372
7.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3171
54.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6210
107.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6199
107.1 IPS |
