Mac15,13
Geekbench AI Score
4143
Single Precision Score
32989
Half Precision Score
36526
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Bierre |
| Upload Date | November 06 2024 09:12 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
1584
294.5 IPS |
|
|
Image Classification (HP)
|
100% |
17359
3.23 KIPS |
|
|
Image Classification (Q)
|
97% |
20081
3.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1932
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
20912
339.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
25364
411.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8570
10.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
121737
142.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
120840
141.6 IPS |
|
|
Object Detection (SP)
|
100% |
1853
146.9 IPS |
|
|
Object Detection (HP)
|
100% |
18408
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
20687
1.65 KIPS |
|
|
Face Detection (SP)
|
100% |
3523
41.9 IPS |
|
|
Face Detection (HP)
|
100% |
38533
457.9 IPS |
|
|
Face Detection (Q)
|
100% |
46192
548.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7217
55.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
98254
757.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
124525
973.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22380
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
229802
295.4 IPS |
|
|
Style Transfer (Q)
|
96% |
221395
285.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5270
194.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48231
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56562
2.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2887
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5155
6.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5192
6.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3547
61.1 IPS |
|
|
Machine Translation (HP)
|
100% |
8676
149.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8879
153.4 IPS |
