Mac15,13
Geekbench AI Score
4104
Single Precision Score
6970
Half Precision Score
5662
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | rismay |
| Upload Date | February 14 2025 02:09 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| Model | Mac15,13 |
| Model ID | Mac15,13 |
| Motherboard | Mac15,13 |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M3 |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1575
293.0 IPS |
|
|
Image Classification (HP)
|
100% |
2958
550.1 IPS |
|
|
Image Classification (Q)
|
96% |
2081
388.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1921
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3011
48.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3335
54.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8870
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17315
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15013
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1813
143.8 IPS |
|
|
Object Detection (HP)
|
97% |
3259
259.4 IPS |
|
|
Object Detection (Q)
|
94% |
2315
184.5 IPS |
|
|
Face Detection (SP)
|
100% |
3465
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
6534
77.6 IPS |
|
|
Face Detection (Q)
|
100% |
3906
46.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7005
54.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
13509
104.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9334
73.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22313
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
33966
43.7 IPS |
|
|
Style Transfer (Q)
|
96% |
28297
36.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5182
191.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6148
227.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4428
163.5 IPS |
|
|
Text Classification (SP)
|
100% |
2891
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5095
6.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5367
7.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3437
59.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5735
99.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5735
99.1 IPS |
