iMac M1 iMac (24-inch Mid 2021)
Geekbench AI Score
3194
Single Precision Score
15947
Half Precision Score
15665
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | enroscado |
| Upload Date | April 29 2025 03:48 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
1407
261.7 IPS |
|
|
Image Classification (HP)
|
100% |
6335
1.18 KIPS |
|
|
Image Classification (Q)
|
96% |
5983
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1347
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9656
156.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10163
164.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6479
7.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
69668
81.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
67443
79.0 IPS |
|
|
Object Detection (SP)
|
100% |
1500
119.0 IPS |
|
|
Object Detection (HP)
|
99% |
7236
575.6 IPS |
|
|
Object Detection (Q)
|
91% |
6863
548.4 IPS |
|
|
Face Detection (SP)
|
100% |
2950
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
16856
200.3 IPS |
|
|
Face Detection (Q)
|
100% |
15340
182.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5660
43.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
48771
375.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
49179
384.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16927
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
122476
157.4 IPS |
|
|
Style Transfer (Q)
|
96% |
115696
149.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3671
135.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23701
875.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24282
896.6 IPS |
|
|
Text Classification (SP)
|
100% |
2326
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4004
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
3980
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2489
42.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3610
62.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3749
64.8 IPS |
