iMac (24-inch Mid 2021)
Geekbench AI Score
4983
Single Precision Score
5852
Half Precision Score
5147
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | wasp2k |
| Upload Date | January 19 2025 08:13 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
2426
451.1 IPS |
|
|
Image Classification (HP)
|
100% |
2476
460.5 IPS |
|
|
Image Classification (Q)
|
97% |
2255
420.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2673
43.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3631
58.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3710
60.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
16838
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18667
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
17445
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
2780
220.5 IPS |
|
|
Object Detection (HP)
|
100% |
2747
217.9 IPS |
|
|
Object Detection (Q)
|
91% |
2217
177.1 IPS |
|
|
Face Detection (SP)
|
100% |
6594
78.4 IPS |
|
|
Face Detection (HP)
|
100% |
8382
99.6 IPS |
|
|
Face Detection (Q)
|
100% |
5857
69.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12223
94.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
13639
105.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
11653
91.1 IPS |
|
|
Style Transfer (SP)
|
100% |
28995
37.3 IPS |
|
|
Style Transfer (HP)
|
100% |
34897
44.9 IPS |
|
|
Style Transfer (Q)
|
96% |
33056
42.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6649
245.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7304
269.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5563
205.4 IPS |
|
|
Text Classification (SP)
|
100% |
2307
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4012
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
3981
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
868
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
874
15.1 IPS |
|
|
Machine Translation (Q)
|
98% |
808
14.0 IPS |
