iMac (24-inch Mid 2021)
Geekbench AI Score
3252
Single Precision Score
5413
Half Precision Score
4442
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 02 2025 07:13 PM |
| Views | 2 |
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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1387
258.0 IPS |
|
|
Image Classification (HP)
|
100% |
2183
406.1 IPS |
|
|
Image Classification (Q)
|
96% |
1566
292.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1383
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2286
37.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2623
42.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6533
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
13992
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12083
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1529
121.3 IPS |
|
|
Object Detection (HP)
|
97% |
2443
194.5 IPS |
|
|
Object Detection (Q)
|
94% |
1804
143.8 IPS |
|
|
Face Detection (SP)
|
100% |
3029
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
5597
66.5 IPS |
|
|
Face Detection (Q)
|
100% |
3212
38.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5831
44.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11119
86.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7674
60.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17023
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
26598
34.2 IPS |
|
|
Style Transfer (Q)
|
96% |
22200
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3797
140.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4705
173.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3442
127.1 IPS |
|
|
Text Classification (SP)
|
100% |
2337
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
4091
5.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4080
5.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2590
44.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3976
68.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4353
75.2 IPS |
