iMac (24-inch Mid 2021)
Geekbench AI Score
3211
Single Precision Score
5288
Half Precision Score
4395
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | macho |
| Upload Date | November 05 2024 07:13 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| Model | iMac (24-inch Mid 2021) |
| Model ID | iMac21,2 |
| Motherboard | iMac21,2 |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1371
255.0 IPS |
|
|
Image Classification (HP)
|
100% |
2194
408.1 IPS |
|
|
Image Classification (Q)
|
96% |
1563
291.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1376
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2165
35.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2597
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6491
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
13848
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11984
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1505
119.4 IPS |
|
|
Object Detection (HP)
|
97% |
2428
193.3 IPS |
|
|
Object Detection (Q)
|
94% |
1793
142.9 IPS |
|
|
Face Detection (SP)
|
100% |
3025
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
5449
64.7 IPS |
|
|
Face Detection (Q)
|
100% |
3166
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5782
44.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11073
85.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7654
59.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16658
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
25841
33.2 IPS |
|
|
Style Transfer (Q)
|
96% |
21975
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3717
137.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4425
163.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3353
123.8 IPS |
|
|
Text Classification (SP)
|
100% |
2343
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
4090
5.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4074
5.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
2492
42.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3799
65.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4240
73.3 IPS |
