Mac15,13
Geekbench AI Score
4118
Single Precision Score
6988
Half Precision Score
5644
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | acorello |
| Upload Date | February 19 2025 10:41 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1587
295.2 IPS |
|
|
Image Classification (HP)
|
100% |
2954
549.3 IPS |
|
|
Image Classification (Q)
|
96% |
2062
385.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1921
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2995
48.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3312
53.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8465
9.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
17312
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15012
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1823
144.6 IPS |
|
|
Object Detection (HP)
|
97% |
3241
258.0 IPS |
|
|
Object Detection (Q)
|
94% |
2344
186.9 IPS |
|
|
Face Detection (SP)
|
100% |
3492
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
6526
77.5 IPS |
|
|
Face Detection (Q)
|
100% |
3904
46.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7133
55.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
13563
104.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
9378
73.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22299
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
33933
43.6 IPS |
|
|
Style Transfer (Q)
|
96% |
28223
36.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5252
193.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6091
224.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4423
163.3 IPS |
|
|
Text Classification (SP)
|
100% |
2917
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5265
7.03 KIPS |
|
|
Text Classification (Q)
|
93% |
5145
6.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3508
60.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5813
100.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5806
100.3 IPS |
