iMac (24-inch Mid 2021)
Geekbench AI Score
3208
Single Precision Score
5278
Half Precision Score
4404
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | wasp2k |
| Upload Date | January 19 2025 08:09 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1391
258.7 IPS |
|
|
Image Classification (HP)
|
100% |
2188
406.9 IPS |
|
|
Image Classification (Q)
|
96% |
1561
291.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1349
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2154
34.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2597
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6511
7.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
13925
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12061
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1515
120.2 IPS |
|
|
Object Detection (HP)
|
97% |
2421
192.8 IPS |
|
|
Object Detection (Q)
|
94% |
1789
142.6 IPS |
|
|
Face Detection (SP)
|
100% |
3021
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
5489
65.2 IPS |
|
|
Face Detection (Q)
|
100% |
3216
38.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5817
44.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11058
85.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7661
59.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16727
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26005
33.4 IPS |
|
|
Style Transfer (Q)
|
96% |
22125
28.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3722
137.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4421
163.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3375
124.6 IPS |
|
|
Text Classification (SP)
|
100% |
2312
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4083
5.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4023
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2472
42.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3712
64.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4240
73.3 IPS |
