iMac (24-inch Mid 2021)
Geekbench AI Score
5472
Single Precision Score
6283
Half Precision Score
5893
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 13 2025 05:46 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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% |
2457
457.0 IPS |
|
|
Image Classification (HP)
|
100% |
2437
453.2 IPS |
|
|
Image Classification (Q)
|
96% |
2429
453.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4002
64.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4230
68.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4069
66.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
17102
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18660
21.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
18019
21.1 IPS |
|
|
Object Detection (SP)
|
100% |
2671
211.9 IPS |
|
|
Object Detection (HP)
|
100% |
2719
215.7 IPS |
|
|
Object Detection (Q)
|
92% |
2453
195.8 IPS |
|
|
Face Detection (SP)
|
100% |
6581
78.2 IPS |
|
|
Face Detection (HP)
|
100% |
8291
98.5 IPS |
|
|
Face Detection (Q)
|
100% |
6834
81.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12174
93.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
13783
106.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
12686
99.2 IPS |
|
|
Style Transfer (SP)
|
100% |
29050
37.3 IPS |
|
|
Style Transfer (HP)
|
100% |
34887
44.8 IPS |
|
|
Style Transfer (Q)
|
96% |
33831
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6568
242.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7255
267.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6247
230.7 IPS |
|
|
Text Classification (SP)
|
100% |
2324
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
4051
5.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4038
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1509
26.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1565
27.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1564
27.0 IPS |
