Mac15,13
Geekbench AI Score
4158
Single Precision Score
30900
Half Precision Score
34825
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Flenski |
| Upload Date | February 26 2025 11:02 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
1586
294.9 IPS |
|
|
Image Classification (HP)
|
100% |
17436
3.24 KIPS |
|
|
Image Classification (Q)
|
97% |
19994
3.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1946
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
20906
338.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
25972
421.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8544
9.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
121574
141.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
121002
141.8 IPS |
|
|
Object Detection (SP)
|
100% |
1859
147.4 IPS |
|
|
Object Detection (HP)
|
100% |
18486
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
20789
1.66 KIPS |
|
|
Face Detection (SP)
|
100% |
3584
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
38987
463.2 IPS |
|
|
Face Detection (Q)
|
100% |
50517
600.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7255
55.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
99015
762.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
124845
976.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22521
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
230050
295.7 IPS |
|
|
Style Transfer (Q)
|
96% |
222453
287.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5292
195.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47674
1.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57040
2.11 KIPS |
|
|
Text Classification (SP)
|
100% |
2885
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5156
6.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5227
7.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3526
60.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4438
76.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4803
83.0 IPS |
