Mac15,13
Geekbench AI Score
4139
Single Precision Score
7114
Half Precision Score
5757
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | maxxx |
| Upload Date | May 17 2025 01:16 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
1615
300.3 IPS |
|
|
Image Classification (HP)
|
100% |
2980
554.1 IPS |
|
|
Image Classification (Q)
|
96% |
2088
389.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1926
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2963
48.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3283
53.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8966
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17577
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15103
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1829
145.1 IPS |
|
|
Object Detection (HP)
|
97% |
3272
260.5 IPS |
|
|
Object Detection (Q)
|
94% |
2379
189.6 IPS |
|
|
Face Detection (SP)
|
100% |
3431
40.8 IPS |
|
|
Face Detection (HP)
|
100% |
6683
79.4 IPS |
|
|
Face Detection (Q)
|
100% |
3931
46.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7184
55.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
13010
100.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
9152
71.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22463
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34558
44.4 IPS |
|
|
Style Transfer (Q)
|
96% |
28672
37.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5282
195.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6132
226.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4460
164.7 IPS |
|
|
Text Classification (SP)
|
100% |
3013
4.02 KIPS |
|
|
Text Classification (HP)
|
100% |
5498
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5471
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3286
56.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6459
111.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6459
111.6 IPS |
