iMac (24-inch Mid 2021)
Geekbench AI Score
3175
Single Precision Score
5341
Half Precision Score
4281
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | RodKagastopoulos |
| Upload Date | November 09 2024 03:36 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1378
256.3 IPS |
|
|
Image Classification (HP)
|
100% |
2159
401.4 IPS |
|
|
Image Classification (Q)
|
96% |
1554
290.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1376
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2239
36.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2448
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6466
7.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
13838
16.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
11950
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1505
119.3 IPS |
|
|
Object Detection (HP)
|
97% |
2410
191.9 IPS |
|
|
Object Detection (Q)
|
94% |
1780
141.9 IPS |
|
|
Face Detection (SP)
|
100% |
2930
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
5352
63.6 IPS |
|
|
Face Detection (Q)
|
100% |
3080
36.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5718
44.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10984
84.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
6988
54.6 IPS |
|
|
Style Transfer (SP)
|
100% |
15208
19.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26391
33.9 IPS |
|
|
Style Transfer (Q)
|
96% |
20163
26.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3744
138.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4592
169.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3386
125.0 IPS |
|
|
Text Classification (SP)
|
100% |
2357
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
4154
5.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4140
5.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
2511
43.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3960
68.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4208
72.7 IPS |
