iMac (24-inch Mid 2021)
Geekbench AI Score
4710
Single Precision Score
5619
Half Precision Score
4964
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | 3zcurdia |
| Upload Date | November 20 2024 05:08 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5079e) |
| 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% |
1934
359.6 IPS |
|
|
Image Classification (HP)
|
100% |
2262
420.6 IPS |
|
|
Image Classification (Q)
|
97% |
2032
379.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2673
43.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3638
59.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3689
59.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
17011
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18599
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
17383
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
2639
209.3 IPS |
|
|
Object Detection (HP)
|
100% |
2668
211.6 IPS |
|
|
Object Detection (Q)
|
91% |
2254
180.1 IPS |
|
|
Face Detection (SP)
|
100% |
6708
79.7 IPS |
|
|
Face Detection (HP)
|
100% |
8419
100.0 IPS |
|
|
Face Detection (Q)
|
100% |
5807
69.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12089
93.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
13592
104.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
11319
88.5 IPS |
|
|
Style Transfer (SP)
|
100% |
29006
37.3 IPS |
|
|
Style Transfer (HP)
|
100% |
34761
44.7 IPS |
|
|
Style Transfer (Q)
|
96% |
32366
41.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6418
237.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7064
260.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5395
199.2 IPS |
|
|
Text Classification (SP)
|
100% |
2255
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3936
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3896
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
681
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
695
12.0 IPS |
|
|
Machine Translation (Q)
|
98% |
692
12.0 IPS |
