Mac15,13
Geekbench AI Score
2214
Single Precision Score
3946
Half Precision Score
3235
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | richh- |
| Upload Date | January 01 2025 05:20 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
788
146.5 IPS |
|
|
Image Classification (HP)
|
100% |
1712
318.3 IPS |
|
|
Image Classification (Q)
|
96% |
1174
219.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1099
17.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1755
28.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1935
31.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4793
5.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
8608
10.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
6544
7.67 IPS |
|
|
Object Detection (SP)
|
100% |
977
77.5 IPS |
|
|
Object Detection (HP)
|
97% |
1761
140.2 IPS |
|
|
Object Detection (Q)
|
94% |
1367
108.9 IPS |
|
|
Face Detection (SP)
|
100% |
1908
22.7 IPS |
|
|
Face Detection (HP)
|
100% |
3769
44.8 IPS |
|
|
Face Detection (Q)
|
100% |
2263
26.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4190
32.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
6265
48.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
5306
41.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7407
9.52 IPS |
|
|
Style Transfer (HP)
|
100% |
19266
24.8 IPS |
|
|
Style Transfer (Q)
|
96% |
16554
21.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3049
112.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3695
136.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2609
96.3 IPS |
|
|
Text Classification (SP)
|
100% |
1838
2.45 KIPS |
|
|
Text Classification (HP)
|
100% |
3133
4.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3129
4.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
2105
36.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3824
66.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3816
65.9 IPS |
