iMac (24-inch Mid 2021)
Geekbench AI Score
5512
Single Precision Score
6482
Half Precision Score
6020
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | gnu08 |
| Upload Date | November 12 2025 04:40 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2405
447.3 IPS |
|
|
Image Classification (HP)
|
100% |
2525
469.6 IPS |
|
|
Image Classification (Q)
|
96% |
2522
471.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4029
65.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4304
69.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4112
66.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
17064
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
19396
22.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
18558
21.7 IPS |
|
|
Object Detection (SP)
|
100% |
2638
209.3 IPS |
|
|
Object Detection (HP)
|
100% |
2715
215.4 IPS |
|
|
Object Detection (Q)
|
92% |
2485
198.4 IPS |
|
|
Face Detection (SP)
|
100% |
6863
81.6 IPS |
|
|
Face Detection (HP)
|
100% |
8573
101.9 IPS |
|
|
Face Detection (Q)
|
100% |
7124
84.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12275
94.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
14199
109.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
12671
99.0 IPS |
|
|
Style Transfer (SP)
|
100% |
29397
37.8 IPS |
|
|
Style Transfer (HP)
|
100% |
35544
45.7 IPS |
|
|
Style Transfer (Q)
|
96% |
34253
44.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6640
245.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7437
274.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6160
227.5 IPS |
|
|
Text Classification (SP)
|
100% |
2385
3.18 KIPS |
|
|
Text Classification (HP)
|
99% |
4253
5.68 KIPS |
|
|
Text Classification (Q)
|
93% |
4203
5.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1515
26.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1674
28.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1634
28.2 IPS |
