iMac (24-inch, 2023)
Geekbench AI Score
6836
Single Precision Score
7830
Half Precision Score
7619
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | techidiot |
| Upload Date | August 26 2025 07:02 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3895
724.4 IPS |
|
|
Image Classification (HP)
|
100% |
4165
774.6 IPS |
|
|
Image Classification (Q)
|
96% |
3828
714.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
5659
91.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5960
96.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
5731
92.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
19644
22.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20938
24.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
20805
24.4 IPS |
|
|
Object Detection (SP)
|
100% |
3910
310.2 IPS |
|
|
Object Detection (HP)
|
100% |
4289
340.2 IPS |
|
|
Object Detection (Q)
|
92% |
3889
310.4 IPS |
|
|
Face Detection (SP)
|
100% |
10509
124.9 IPS |
|
|
Face Detection (HP)
|
100% |
12643
150.2 IPS |
|
|
Face Detection (Q)
|
100% |
7875
93.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12407
95.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
11526
88.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
13970
109.1 IPS |
|
|
Style Transfer (SP)
|
100% |
38706
49.8 IPS |
|
|
Style Transfer (HP)
|
100% |
43213
55.6 IPS |
|
|
Style Transfer (Q)
|
96% |
41617
53.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6934
256.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4494
166.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6981
257.8 IPS |
|
|
Text Classification (SP)
|
100% |
1749
2.33 KIPS |
|
|
Text Classification (HP)
|
100% |
4250
5.67 KIPS |
|
|
Text Classification (Q)
|
93% |
3828
5.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
2153
37.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3231
55.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3036
52.5 IPS |
