iMac (24-inch Mid 2021)
Geekbench AI Score
3229
Single Precision Score
5339
Half Precision Score
4413
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | MidniteMarv |
| Upload Date | February 18 2025 01:02 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
1391
258.8 IPS |
|
|
Image Classification (HP)
|
100% |
2184
406.2 IPS |
|
|
Image Classification (Q)
|
96% |
1561
291.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1367
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2155
34.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2581
41.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6511
7.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
13900
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12057
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1512
120.0 IPS |
|
|
Object Detection (HP)
|
97% |
2419
192.6 IPS |
|
|
Object Detection (Q)
|
94% |
1791
142.8 IPS |
|
|
Face Detection (SP)
|
100% |
2984
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
5423
64.4 IPS |
|
|
Face Detection (Q)
|
100% |
3197
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5822
44.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11022
85.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7666
59.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17085
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
26587
34.2 IPS |
|
|
Style Transfer (Q)
|
96% |
22130
28.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3778
139.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4671
172.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3411
125.9 IPS |
|
|
Text Classification (SP)
|
100% |
2330
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4076
5.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4047
5.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
2523
43.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3935
68.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4310
74.5 IPS |
