iMac (24-inch, 2023)
Geekbench AI Score
4064
Single Precision Score
6936
Half Precision Score
5593
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | masm66 |
| Upload Date | December 10 2024 06:00 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1550
288.3 IPS |
|
|
Image Classification (HP)
|
100% |
2952
549.0 IPS |
|
|
Image Classification (Q)
|
96% |
2060
384.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1876
30.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2982
48.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3277
53.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8569
10.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
17216
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14908
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
1788
141.9 IPS |
|
|
Object Detection (HP)
|
97% |
3238
257.8 IPS |
|
|
Object Detection (Q)
|
94% |
2316
184.6 IPS |
|
|
Face Detection (SP)
|
100% |
3459
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
6409
76.1 IPS |
|
|
Face Detection (Q)
|
100% |
3836
45.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7013
54.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
13440
103.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
9282
72.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22026
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33834
43.5 IPS |
|
|
Style Transfer (Q)
|
96% |
28070
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5148
190.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6008
221.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4365
161.2 IPS |
|
|
Text Classification (SP)
|
100% |
2951
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5265
7.03 KIPS |
|
|
Text Classification (Q)
|
93% |
5174
6.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3399
58.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5698
98.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5701
98.5 IPS |
