iMac (24-inch, 2023)
Geekbench AI Score
4096
Single Precision Score
7055
Half Precision Score
5742
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Andji |
| Upload Date | April 11 2025 12:28 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.04 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1561
290.3 IPS |
|
|
Image Classification (HP)
|
100% |
2974
553.0 IPS |
|
|
Image Classification (Q)
|
96% |
2098
391.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1902
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2973
48.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3322
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8899
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17454
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15094
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1828
145.0 IPS |
|
|
Object Detection (HP)
|
97% |
3249
258.7 IPS |
|
|
Object Detection (Q)
|
94% |
2388
190.3 IPS |
|
|
Face Detection (SP)
|
100% |
3439
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
6544
77.8 IPS |
|
|
Face Detection (Q)
|
100% |
3843
45.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7141
55.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12959
100.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
9160
71.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22367
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
34286
44.1 IPS |
|
|
Style Transfer (Q)
|
96% |
28543
36.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5207
192.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6030
222.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4445
164.1 IPS |
|
|
Text Classification (SP)
|
100% |
2984
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5440
7.26 KIPS |
|
|
Text Classification (Q)
|
93% |
5380
7.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3227
55.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6391
110.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6463
111.7 IPS |
