iMac (24-inch, 2023)
Geekbench AI Score
3981
Single Precision Score
5707
Half Precision Score
4739
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | wtorres23 |
| Upload Date | August 19 2024 05:53 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1681
312.6 IPS |
|
|
Image Classification (HP)
|
100% |
2288
425.4 IPS |
|
|
Image Classification (Q)
|
99% |
2275
424.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1676
27.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1565
25.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
1571
25.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8574
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
17093
19.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
14762
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
1898
150.6 IPS |
|
|
Object Detection (HP)
|
97% |
2653
211.2 IPS |
|
|
Object Detection (Q)
|
94% |
2054
163.8 IPS |
|
|
Face Detection (SP)
|
100% |
3270
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
5266
62.6 IPS |
|
|
Face Detection (Q)
|
100% |
3427
40.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6876
53.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
10103
78.1 IPS |
|
|
Depth Estimation (Q)
|
96% |
5002
38.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21584
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32405
41.7 IPS |
|
|
Style Transfer (Q)
|
100% |
32447
41.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5050
186.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6049
223.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4378
162.2 IPS |
|
|
Text Classification (SP)
|
100% |
2797
3.73 KIPS |
|
|
Text Classification (HP)
|
100% |
4731
6.31 KIPS |
|
|
Text Classification (Q)
|
93% |
4706
6.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3187
54.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4579
79.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4601
79.5 IPS |
