iMac (24-inch Mid 2021)
Geekbench AI Score
4941
Single Precision Score
5840
Half Precision Score
5169
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | MidniteMarv |
| Upload Date | February 18 2025 01:05 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
2475
460.3 IPS |
|
|
Image Classification (HP)
|
100% |
2501
465.1 IPS |
|
|
Image Classification (Q)
|
97% |
2233
416.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2678
43.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3632
58.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3714
60.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
16829
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18707
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
17363
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
2691
213.4 IPS |
|
|
Object Detection (HP)
|
100% |
2820
223.7 IPS |
|
|
Object Detection (Q)
|
91% |
2236
178.7 IPS |
|
|
Face Detection (SP)
|
100% |
6485
77.1 IPS |
|
|
Face Detection (HP)
|
100% |
8190
97.3 IPS |
|
|
Face Detection (Q)
|
100% |
5778
68.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12002
92.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
13663
105.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
11351
88.7 IPS |
|
|
Style Transfer (SP)
|
100% |
28898
37.1 IPS |
|
|
Style Transfer (HP)
|
100% |
34721
44.6 IPS |
|
|
Style Transfer (Q)
|
96% |
32813
42.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6538
241.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7269
268.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5498
203.0 IPS |
|
|
Text Classification (SP)
|
100% |
2331
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
3998
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
3994
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
844
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
853
14.7 IPS |
|
|
Machine Translation (Q)
|
98% |
896
15.5 IPS |
