iMac (24-inch Mid 2021)
Geekbench AI Score
2858
Single Precision Score
4302
Half Precision Score
3572
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | gmacaya |
| Upload Date | September 07 2024 08:14 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
1306
242.9 IPS |
|
|
Image Classification (HP)
|
100% |
1686
313.5 IPS |
|
|
Image Classification (Q)
|
99% |
1681
313.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1192
19.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1164
18.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
1163
18.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5858
6.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
13558
15.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
11553
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1397
110.8 IPS |
|
|
Object Detection (HP)
|
97% |
1952
155.4 IPS |
|
|
Object Detection (Q)
|
94% |
1513
120.6 IPS |
|
|
Face Detection (SP)
|
100% |
2393
28.4 IPS |
|
|
Face Detection (HP)
|
100% |
3952
47.0 IPS |
|
|
Face Detection (Q)
|
100% |
2593
30.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5226
40.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8154
63.0 IPS |
|
|
Depth Estimation (Q)
|
96% |
3984
30.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15761
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
25050
32.2 IPS |
|
|
Style Transfer (Q)
|
100% |
24905
32.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3380
124.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4482
165.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3386
125.5 IPS |
|
|
Text Classification (SP)
|
100% |
2308
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3729
4.98 KIPS |
|
|
Text Classification (Q)
|
93% |
3691
4.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
1857
32.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3099
53.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3084
53.3 IPS |
