iMac (24-inch Mid 2021)
Geekbench AI Score
4579
Single Precision Score
4926
Half Precision Score
1697
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | iGeneration |
| Upload Date | December 30 2024 04:03 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 2.82 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2027
376.9 IPS |
|
|
Image Classification (HP)
|
100% |
1914
356.0 IPS |
|
|
Image Classification (Q)
|
97% |
1800
335.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2588
42.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3573
57.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3471
56.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
16839
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18589
21.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
16881
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
2685
213.0 IPS |
|
|
Object Detection (HP)
|
100% |
2777
220.3 IPS |
|
|
Object Detection (Q)
|
92% |
2122
169.4 IPS |
|
|
Face Detection (SP)
|
100% |
6482
77.0 IPS |
|
|
Face Detection (HP)
|
100% |
8409
99.9 IPS |
|
|
Face Detection (Q)
|
100% |
5219
62.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12048
92.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
13720
105.7 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
80.7 IPS |
|
|
Style Transfer (SP)
|
100% |
28492
36.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34474
44.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31670
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6314
233.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7238
267.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5597
206.7 IPS |
|
|
Text Classification (SP)
|
100% |
1084
1.45 KIPS |
|
|
Text Classification (HP)
|
100% |
660
881.3 IPS |
|
|
Text Classification (Q)
|
93% |
837
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1124
19.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1256
21.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1147
19.8 IPS |
