Mac15,13
Geekbench AI Score
7391
Single Precision Score
8874
Half Precision Score
8047
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | rismay |
| Upload Date | January 29 2025 06:43 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4304
800.3 IPS |
|
|
Image Classification (HP)
|
100% |
4668
868.1 IPS |
|
|
Image Classification (Q)
|
97% |
4026
751.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3869
62.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5784
93.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
6250
101.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
24570
28.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
26311
30.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
25110
29.4 IPS |
|
|
Object Detection (SP)
|
100% |
4351
345.2 IPS |
|
|
Object Detection (HP)
|
100% |
4818
382.1 IPS |
|
|
Object Detection (Q)
|
91% |
4120
329.2 IPS |
|
|
Face Detection (SP)
|
100% |
11134
132.3 IPS |
|
|
Face Detection (HP)
|
100% |
14764
175.4 IPS |
|
|
Face Detection (Q)
|
100% |
10634
126.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
18022
138.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
20380
157.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
17572
137.4 IPS |
|
|
Style Transfer (SP)
|
100% |
51550
66.3 IPS |
|
|
Style Transfer (HP)
|
100% |
60079
77.2 IPS |
|
|
Style Transfer (Q)
|
96% |
56353
72.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10930
403.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11725
433.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9452
349.0 IPS |
|
|
Text Classification (SP)
|
100% |
2974
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5169
6.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5196
6.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
813
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
808
13.9 IPS |
|
|
Machine Translation (Q)
|
98% |
846
14.6 IPS |
