iMac (24-inch, 2023)
Geekbench AI Score
4077
Single Precision Score
6917
Half Precision Score
6024
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | January 03 2025 09:30 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1581
293.9 IPS |
|
|
Image Classification (HP)
|
100% |
2929
544.6 IPS |
|
|
Image Classification (Q)
|
99% |
2918
544.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1907
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2982
48.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
2986
48.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8829
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16777
19.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
14424
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
1676
132.9 IPS |
|
|
Object Detection (HP)
|
97% |
3082
245.4 IPS |
|
|
Object Detection (Q)
|
94% |
2187
174.3 IPS |
|
|
Face Detection (SP)
|
100% |
3336
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
6581
78.2 IPS |
|
|
Face Detection (Q)
|
100% |
3900
46.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7095
54.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
13414
103.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
13471
104.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22242
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
33930
43.6 IPS |
|
|
Style Transfer (Q)
|
100% |
34067
43.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5238
193.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6152
227.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4206
155.8 IPS |
|
|
Text Classification (SP)
|
100% |
2952
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5239
6.99 KIPS |
|
|
Text Classification (Q)
|
93% |
5238
7.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3495
60.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5753
99.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5808
100.4 IPS |
