Mac15,13
Geekbench AI Score
2368
Single Precision Score
13482
Half Precision Score
14887
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | nostah |
| Upload Date | August 27 2024 12:34 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
1318
245.0 IPS |
|
|
Image Classification (HP)
|
100% |
7770
1.44 KIPS |
|
|
Image Classification (Q)
|
99% |
8431
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
825
13.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6627
107.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
6611
107.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8391
9.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
102897
120.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
104121
122.1 IPS |
|
|
Object Detection (SP)
|
100% |
1524
120.9 IPS |
|
|
Object Detection (HP)
|
100% |
10050
797.2 IPS |
|
|
Object Detection (Q)
|
93% |
10822
863.5 IPS |
|
|
Face Detection (SP)
|
100% |
2176
25.9 IPS |
|
|
Face Detection (HP)
|
100% |
13387
159.1 IPS |
|
|
Face Detection (Q)
|
100% |
15493
184.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4231
32.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
54654
421.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
59376
459.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12311
15.8 IPS |
|
|
Style Transfer (HP)
|
100% |
148226
190.5 IPS |
|
|
Style Transfer (Q)
|
100% |
147361
189.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3606
133.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19357
714.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
24923
923.4 IPS |
|
|
Text Classification (SP)
|
100% |
476
636.0 IPS |
|
|
Text Classification (HP)
|
100% |
672
897.1 IPS |
|
|
Text Classification (Q)
|
93% |
931
1.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
2056
35.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2642
45.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2707
46.8 IPS |
