iMac (24-inch, 2023)
Geekbench AI Score
2540
Single Precision Score
4276
Half Precision Score
3423
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 02 2025 05:48 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 2.17 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
944
175.5 IPS |
|
|
Image Classification (HP)
|
100% |
1730
321.7 IPS |
|
|
Image Classification (Q)
|
96% |
1204
224.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1158
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1809
29.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1950
31.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5267
6.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
10456
12.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
8963
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
1111
88.2 IPS |
|
|
Object Detection (HP)
|
97% |
1960
156.0 IPS |
|
|
Object Detection (Q)
|
94% |
1392
111.0 IPS |
|
|
Face Detection (SP)
|
100% |
2205
26.2 IPS |
|
|
Face Detection (HP)
|
100% |
3870
46.0 IPS |
|
|
Face Detection (Q)
|
100% |
2288
27.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4317
33.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
8224
63.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
5595
43.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13220
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
20385
26.2 IPS |
|
|
Style Transfer (Q)
|
96% |
16770
21.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3280
121.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3719
137.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2683
99.1 IPS |
|
|
Text Classification (SP)
|
100% |
1865
2.49 KIPS |
|
|
Text Classification (HP)
|
100% |
3230
4.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3197
4.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
2273
39.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4095
70.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4095
70.8 IPS |
