iMac (24-inch Mid 2021)
Geekbench AI Score
5446
Single Precision Score
6348
Half Precision Score
5945
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | andreasphh |
| Upload Date | October 12 2025 04:49 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| 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% |
2309
429.4 IPS |
|
|
Image Classification (HP)
|
100% |
2476
460.4 IPS |
|
|
Image Classification (Q)
|
96% |
2344
437.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3985
64.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4240
68.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4174
67.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
17108
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
19215
22.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
18671
21.9 IPS |
|
|
Object Detection (SP)
|
100% |
2649
210.1 IPS |
|
|
Object Detection (HP)
|
100% |
2689
213.3 IPS |
|
|
Object Detection (Q)
|
92% |
2516
200.8 IPS |
|
|
Face Detection (SP)
|
100% |
6748
80.2 IPS |
|
|
Face Detection (HP)
|
100% |
8359
99.3 IPS |
|
|
Face Detection (Q)
|
100% |
6801
80.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12162
93.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
14005
107.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
12858
100.4 IPS |
|
|
Style Transfer (SP)
|
100% |
29113
37.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35396
45.5 IPS |
|
|
Style Transfer (Q)
|
96% |
34527
44.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6569
242.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7472
275.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6384
235.7 IPS |
|
|
Text Classification (SP)
|
100% |
2308
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4013
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
3980
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1520
26.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1579
27.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1566
27.1 IPS |
