iMac (24-inch Mid 2021)
Geekbench AI Score
4624
Single Precision Score
5284
Half Precision Score
4756
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | macho |
| Upload Date | November 05 2024 07:16 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| Model | iMac (24-inch Mid 2021) |
| Model ID | iMac21,2 |
| Motherboard | iMac21,2 |
| 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% |
2198
408.8 IPS |
|
|
Image Classification (HP)
|
100% |
2128
395.8 IPS |
|
|
Image Classification (Q)
|
97% |
2000
373.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2590
42.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3274
53.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3322
53.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15635
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16819
19.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15612
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2467
195.7 IPS |
|
|
Object Detection (HP)
|
100% |
2501
198.4 IPS |
|
|
Object Detection (Q)
|
91% |
2069
165.4 IPS |
|
|
Face Detection (SP)
|
100% |
6515
77.4 IPS |
|
|
Face Detection (HP)
|
100% |
7535
89.5 IPS |
|
|
Face Detection (Q)
|
100% |
5231
62.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10153
78.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
11109
85.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
9490
74.2 IPS |
|
|
Style Transfer (SP)
|
100% |
26549
34.1 IPS |
|
|
Style Transfer (HP)
|
100% |
30607
39.3 IPS |
|
|
Style Transfer (Q)
|
96% |
28760
37.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6078
224.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6605
243.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5190
191.6 IPS |
|
|
Text Classification (SP)
|
100% |
2323
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
4119
5.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4047
5.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
822
14.2 IPS |
|
|
Machine Translation (HP)
|
100% |
832
14.3 IPS |
|
|
Machine Translation (Q)
|
98% |
921
15.9 IPS |
