iMac (24-inch Mid 2021)
Geekbench AI Score
2826
Single Precision Score
4272
Half Precision Score
3585
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | deleavell |
| Upload Date | August 15 2024 08:46 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 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% |
1301
242.0 IPS |
|
|
Image Classification (HP)
|
100% |
1699
316.0 IPS |
|
|
Image Classification (Q)
|
99% |
1692
315.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1150
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1169
18.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
1155
18.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5849
6.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
13518
15.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
11549
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1411
111.9 IPS |
|
|
Object Detection (HP)
|
97% |
1942
154.6 IPS |
|
|
Object Detection (Q)
|
94% |
1516
120.9 IPS |
|
|
Face Detection (SP)
|
100% |
2376
28.2 IPS |
|
|
Face Detection (HP)
|
100% |
3970
47.2 IPS |
|
|
Face Detection (Q)
|
100% |
2630
31.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5232
40.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8206
63.4 IPS |
|
|
Depth Estimation (Q)
|
96% |
4021
31.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15514
19.9 IPS |
|
|
Style Transfer (HP)
|
100% |
24720
31.8 IPS |
|
|
Style Transfer (Q)
|
100% |
24706
31.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3382
124.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4290
158.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3355
124.3 IPS |
|
|
Text Classification (SP)
|
100% |
2277
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3666
4.89 KIPS |
|
|
Text Classification (Q)
|
93% |
3656
4.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
1776
30.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3066
53.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3201
55.3 IPS |
