Mac15,13
Geekbench AI Score
4152
Single Precision Score
31485
Half Precision Score
35384
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | maxxx |
| Upload Date | May 17 2025 01:25 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1613
300.0 IPS |
|
|
Image Classification (HP)
|
100% |
17780
3.31 KIPS |
|
|
Image Classification (Q)
|
97% |
20399
3.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1926
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
21777
353.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
27112
439.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8974
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
121572
141.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
121270
142.1 IPS |
|
|
Object Detection (SP)
|
100% |
1839
145.9 IPS |
|
|
Object Detection (HP)
|
100% |
18622
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
20990
1.68 KIPS |
|
|
Face Detection (SP)
|
100% |
3500
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
40003
475.3 IPS |
|
|
Face Detection (Q)
|
100% |
52413
622.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7205
55.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
98762
760.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
124272
971.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22433
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
229997
295.7 IPS |
|
|
Style Transfer (Q)
|
96% |
221804
286.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5299
195.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48467
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58158
2.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3011
4.02 KIPS |
|
|
Text Classification (HP)
|
100% |
5391
7.20 KIPS |
|
|
Text Classification (Q)
|
93% |
5425
7.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3295
56.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4601
79.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4795
82.9 IPS |
