iMac (24-inch, 2023)
Geekbench AI Score
8585
Single Precision Score
10234
Half Precision Score
9860
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Andji |
| Upload Date | April 11 2025 12:31 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| Model | iMac (24-inch, 2023) |
| Model ID | Mac15,5 |
| Motherboard | Mac15,5 |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M3 |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4295
798.6 IPS |
|
|
Image Classification (HP)
|
100% |
4682
870.8 IPS |
|
|
Image Classification (Q)
|
96% |
4264
796.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
6498
105.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7114
115.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6837
110.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
24932
29.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
26447
30.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
25737
30.2 IPS |
|
|
Object Detection (SP)
|
100% |
4284
339.8 IPS |
|
|
Object Detection (HP)
|
100% |
4931
391.2 IPS |
|
|
Object Detection (Q)
|
92% |
4480
357.6 IPS |
|
|
Face Detection (SP)
|
100% |
11744
139.5 IPS |
|
|
Face Detection (HP)
|
100% |
15129
179.8 IPS |
|
|
Face Detection (Q)
|
100% |
12043
143.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
19019
146.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
20758
159.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
18951
148.2 IPS |
|
|
Style Transfer (SP)
|
100% |
52633
67.7 IPS |
|
|
Style Transfer (HP)
|
100% |
60550
77.8 IPS |
|
|
Style Transfer (Q)
|
96% |
58730
75.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11031
407.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11849
437.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10281
379.6 IPS |
|
|
Text Classification (SP)
|
100% |
3007
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5422
7.24 KIPS |
|
|
Text Classification (Q)
|
93% |
5394
7.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
1873
32.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2377
41.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3479
60.1 IPS |
