Mac15,13
Geekbench AI Score
8181
Single Precision Score
9835
Half Precision Score
8817
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | rismay |
| Upload Date | June 25 2025 05:18 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5295e) |
| 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% |
4228
786.3 IPS |
|
|
Image Classification (HP)
|
100% |
4561
848.2 IPS |
|
|
Image Classification (Q)
|
96% |
4056
757.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
6363
103.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6969
113.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
6695
108.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
23594
27.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
26640
31.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
25934
30.4 IPS |
|
|
Object Detection (SP)
|
100% |
4318
342.5 IPS |
|
|
Object Detection (HP)
|
100% |
4775
378.8 IPS |
|
|
Object Detection (Q)
|
92% |
4367
348.6 IPS |
|
|
Face Detection (SP)
|
100% |
11670
138.7 IPS |
|
|
Face Detection (HP)
|
100% |
15193
180.5 IPS |
|
|
Face Detection (Q)
|
100% |
12329
146.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
18433
142.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
20174
155.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
18547
144.9 IPS |
|
|
Style Transfer (SP)
|
100% |
50268
64.6 IPS |
|
|
Style Transfer (HP)
|
100% |
60200
77.4 IPS |
|
|
Style Transfer (Q)
|
96% |
58141
75.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10488
387.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10726
396.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9316
344.0 IPS |
|
|
Text Classification (SP)
|
100% |
3050
4.07 KIPS |
|
|
Text Classification (HP)
|
99% |
5018
6.70 KIPS |
|
|
Text Classification (Q)
|
93% |
4990
6.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
1418
24.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2110
36.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1494
25.8 IPS |
