iMac (24-inch Mid 2021)
Geekbench AI Score
4964
Single Precision Score
5837
Half Precision Score
5168
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Bierre |
| Upload Date | November 06 2024 09:24 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| 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% |
2417
449.4 IPS |
|
|
Image Classification (HP)
|
100% |
2415
449.2 IPS |
|
|
Image Classification (Q)
|
97% |
2115
394.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2655
43.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3626
58.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3658
59.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17050
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18699
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
17138
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
2738
217.2 IPS |
|
|
Object Detection (HP)
|
100% |
2761
219.0 IPS |
|
|
Object Detection (Q)
|
91% |
2154
172.1 IPS |
|
|
Face Detection (SP)
|
100% |
6656
79.1 IPS |
|
|
Face Detection (HP)
|
100% |
8442
100.3 IPS |
|
|
Face Detection (Q)
|
100% |
5731
68.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
12256
94.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
13714
105.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
10685
83.5 IPS |
|
|
Style Transfer (SP)
|
100% |
29014
37.3 IPS |
|
|
Style Transfer (HP)
|
100% |
34752
44.7 IPS |
|
|
Style Transfer (Q)
|
96% |
32333
41.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6655
245.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7392
272.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5553
205.1 IPS |
|
|
Text Classification (SP)
|
100% |
2300
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3994
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3994
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
838
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
855
14.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1084
18.7 IPS |
