Mac15,13
Geekbench AI Score
2471
Single Precision Score
18967
Half Precision Score
20892
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | richh- |
| Upload Date | January 01 2025 05:25 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| 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 | 2.17 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
935
173.8 IPS |
|
|
Image Classification (HP)
|
100% |
10819
2.01 KIPS |
|
|
Image Classification (Q)
|
97% |
13097
2.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1144
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
13647
221.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
15988
259.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5134
5.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
75209
87.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
75463
88.4 IPS |
|
|
Object Detection (SP)
|
100% |
1092
86.6 IPS |
|
|
Object Detection (HP)
|
100% |
13899
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
13190
1.05 KIPS |
|
|
Face Detection (SP)
|
100% |
2162
25.7 IPS |
|
|
Face Detection (HP)
|
100% |
21714
258.0 IPS |
|
|
Face Detection (Q)
|
100% |
27034
321.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4221
32.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
57051
439.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
79178
619.1 IPS |
|
|
Style Transfer (SP)
|
100% |
13143
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
144064
185.2 IPS |
|
|
Style Transfer (Q)
|
96% |
146750
189.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2980
110.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30209
1.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35241
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
1832
2.45 KIPS |
|
|
Text Classification (HP)
|
100% |
3135
4.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3108
4.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
2169
37.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2310
39.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2210
38.2 IPS |
