iMac (24-inch Mid 2021)
Geekbench AI Score
4910
Single Precision Score
5896
Half Precision Score
5127
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 02 2025 07:19 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2250
418.4 IPS |
|
|
Image Classification (HP)
|
100% |
2479
461.0 IPS |
|
|
Image Classification (Q)
|
97% |
2068
386.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2596
42.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3676
59.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3752
60.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
17046
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18552
21.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
17320
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
2699
214.1 IPS |
|
|
Object Detection (HP)
|
100% |
2840
225.3 IPS |
|
|
Object Detection (Q)
|
91% |
2249
179.7 IPS |
|
|
Face Detection (SP)
|
100% |
6719
79.8 IPS |
|
|
Face Detection (HP)
|
100% |
8416
100.0 IPS |
|
|
Face Detection (Q)
|
100% |
5802
68.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12105
93.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
13726
105.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
11374
88.9 IPS |
|
|
Style Transfer (SP)
|
100% |
28989
37.3 IPS |
|
|
Style Transfer (HP)
|
100% |
34760
44.7 IPS |
|
|
Style Transfer (Q)
|
96% |
33064
42.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6682
246.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7252
267.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5544
204.7 IPS |
|
|
Text Classification (SP)
|
100% |
2308
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4025
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4008
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
834
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
903
15.6 IPS |
|
|
Machine Translation (Q)
|
98% |
858
14.8 IPS |
