iMac (24-inch, 2023)
Geekbench AI Score
8020
Single Precision Score
9594
Half Precision Score
8656
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | forcetrainer |
| Upload Date | January 15 2025 02:53 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5079e) |
| Model | iMac (24-inch, 2023) |
| Model ID | Mac15,5 |
| Motherboard | Mac15,5 |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M3 |
| Base Frequency | 4.03 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4198
780.8 IPS |
|
|
Image Classification (HP)
|
100% |
4494
835.8 IPS |
|
|
Image Classification (Q)
|
97% |
3924
732.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4184
67.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5966
96.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
6456
104.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
24724
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26560
31.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
25258
29.6 IPS |
|
|
Object Detection (SP)
|
100% |
4291
340.4 IPS |
|
|
Object Detection (HP)
|
100% |
4760
377.6 IPS |
|
|
Object Detection (Q)
|
91% |
4073
325.5 IPS |
|
|
Face Detection (SP)
|
100% |
11226
133.4 IPS |
|
|
Face Detection (HP)
|
100% |
14641
174.0 IPS |
|
|
Face Detection (Q)
|
100% |
10652
126.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
18324
141.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
20516
158.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
17629
137.8 IPS |
|
|
Style Transfer (SP)
|
100% |
51414
66.1 IPS |
|
|
Style Transfer (HP)
|
100% |
60197
77.4 IPS |
|
|
Style Transfer (Q)
|
96% |
56430
72.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11006
406.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11799
435.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9536
352.1 IPS |
|
|
Text Classification (SP)
|
100% |
2872
3.83 KIPS |
|
|
Text Classification (HP)
|
100% |
4947
6.60 KIPS |
|
|
Text Classification (Q)
|
93% |
4925
6.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
1769
30.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1847
31.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1821
31.5 IPS |
