Mac15,13
Geekbench AI Score
7323
Single Precision Score
8869
Half Precision Score
7969
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | rismay |
| Upload Date | November 17 2024 09:00 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5079e) |
| 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% |
4209
782.8 IPS |
|
|
Image Classification (HP)
|
100% |
4528
842.0 IPS |
|
|
Image Classification (Q)
|
97% |
3880
724.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4214
68.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5977
96.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6296
102.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
24783
28.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
26495
30.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
25228
29.6 IPS |
|
|
Object Detection (SP)
|
100% |
3810
302.2 IPS |
|
|
Object Detection (HP)
|
100% |
4790
379.9 IPS |
|
|
Object Detection (Q)
|
91% |
4080
326.0 IPS |
|
|
Face Detection (SP)
|
100% |
11578
137.6 IPS |
|
|
Face Detection (HP)
|
100% |
14749
175.2 IPS |
|
|
Face Detection (Q)
|
100% |
10817
128.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
18287
140.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
20355
156.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
17561
137.3 IPS |
|
|
Style Transfer (SP)
|
100% |
51318
66.0 IPS |
|
|
Style Transfer (HP)
|
100% |
60173
77.4 IPS |
|
|
Style Transfer (Q)
|
96% |
56440
72.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10877
401.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11540
426.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9370
346.0 IPS |
|
|
Text Classification (SP)
|
100% |
2873
3.84 KIPS |
|
|
Text Classification (HP)
|
100% |
4968
6.63 KIPS |
|
|
Text Classification (Q)
|
93% |
5034
6.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
780
13.4 IPS |
|
|
Machine Translation (HP)
|
100% |
847
14.6 IPS |
|
|
Machine Translation (Q)
|
98% |
813
14.1 IPS |
