iMac (24-inch Mid 2021)
Geekbench AI Score
4322
Single Precision Score
4551
Half Precision Score
1554
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 09 2025 07:27 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.0 (Build 23A344) |
| 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% |
1816
337.8 IPS |
|
|
Image Classification (HP)
|
100% |
1866
347.0 IPS |
|
|
Image Classification (Q)
|
99% |
1657
309.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2569
41.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3437
55.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3241
52.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
16550
19.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18134
21.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
16025
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
2376
188.5 IPS |
|
|
Object Detection (HP)
|
100% |
2389
189.5 IPS |
|
|
Object Detection (Q)
|
91% |
1909
152.5 IPS |
|
|
Face Detection (SP)
|
100% |
5337
63.4 IPS |
|
|
Face Detection (HP)
|
100% |
7029
83.5 IPS |
|
|
Face Detection (Q)
|
100% |
4544
54.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11176
86.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
12196
94.0 IPS |
|
|
Depth Estimation (Q)
|
0% |
0
69.9 IPS |
|
|
Style Transfer (SP)
|
100% |
27401
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32635
42.0 IPS |
|
|
Style Transfer (Q)
|
96% |
29607
38.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5498
203.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5438
200.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4854
179.2 IPS |
|
|
Text Classification (SP)
|
100% |
1281
1.71 KIPS |
|
|
Text Classification (HP)
|
100% |
762
1.02 KIPS |
|
|
Text Classification (Q)
|
93% |
758
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1079
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1184
20.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1016
17.6 IPS |
