iMac (24-inch Mid 2021)
Geekbench AI Score
2845
Single Precision Score
4341
Half Precision Score
3727
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | iGeneration |
| Upload Date | December 30 2024 04:00 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | iMac (24-inch Mid 2021) |
| Model ID | iMac21,1 |
| Motherboard | iMac21,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1297
241.3 IPS |
|
|
Image Classification (HP)
|
100% |
1685
313.4 IPS |
|
|
Image Classification (Q)
|
96% |
1284
239.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1174
19.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1189
19.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1687
27.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5838
6.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
13486
15.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
11663
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1410
111.8 IPS |
|
|
Object Detection (HP)
|
97% |
1964
156.3 IPS |
|
|
Object Detection (Q)
|
94% |
1525
121.5 IPS |
|
|
Face Detection (SP)
|
100% |
2320
27.6 IPS |
|
|
Face Detection (HP)
|
100% |
4021
47.8 IPS |
|
|
Face Detection (Q)
|
100% |
2621
31.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5188
40.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
8186
63.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
6176
48.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15719
20.2 IPS |
|
|
Style Transfer (HP)
|
100% |
25007
32.1 IPS |
|
|
Style Transfer (Q)
|
96% |
21030
27.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3396
125.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4694
173.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3421
126.3 IPS |
|
|
Text Classification (SP)
|
100% |
2291
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3695
4.93 KIPS |
|
|
Text Classification (Q)
|
93% |
3657
4.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
1888
32.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3138
54.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3154
54.5 IPS |
