iMac (24-inch, 2023)
Geekbench AI Score
4098
Single Precision Score
6943
Half Precision Score
5615
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 13 2024 04:39 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5079e) |
| 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% |
1561
290.2 IPS |
|
|
Image Classification (HP)
|
100% |
2926
544.1 IPS |
|
|
Image Classification (Q)
|
96% |
2052
383.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1918
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3010
48.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3303
53.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8510
9.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
17302
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14999
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1814
143.9 IPS |
|
|
Object Detection (HP)
|
97% |
3243
258.2 IPS |
|
|
Object Detection (Q)
|
94% |
2332
185.9 IPS |
|
|
Face Detection (SP)
|
100% |
3480
41.3 IPS |
|
|
Face Detection (HP)
|
100% |
6563
78.0 IPS |
|
|
Face Detection (Q)
|
100% |
3912
46.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7114
54.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
13464
104.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
9301
72.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22204
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
33791
43.4 IPS |
|
|
Style Transfer (Q)
|
96% |
28096
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5272
194.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6075
224.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4425
163.4 IPS |
|
|
Text Classification (SP)
|
100% |
2845
3.80 KIPS |
|
|
Text Classification (HP)
|
100% |
5052
6.74 KIPS |
|
|
Text Classification (Q)
|
93% |
5024
6.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
3506
60.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5755
99.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5786
100.0 IPS |
