Mac15,12
Geekbench AI Score
5828
Single Precision Score
6619
Half Precision Score
6008
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | ProhorTaim |
| Upload Date | August 19 2024 12:50 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | Mac15,12 |
| Model ID | Mac15,12 |
| Motherboard | Mac15,12 |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3798
706.4 IPS |
|
|
Image Classification (HP)
|
100% |
3980
740.2 IPS |
|
|
Image Classification (Q)
|
99% |
3516
655.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4137
67.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5156
83.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
5061
82.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
20321
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
21697
25.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
20116
23.6 IPS |
|
|
Object Detection (SP)
|
100% |
3964
314.4 IPS |
|
|
Object Detection (HP)
|
100% |
4224
335.0 IPS |
|
|
Object Detection (Q)
|
92% |
3335
266.2 IPS |
|
|
Face Detection (SP)
|
100% |
10545
125.3 IPS |
|
|
Face Detection (HP)
|
100% |
12520
148.8 IPS |
|
|
Face Detection (Q)
|
100% |
8852
105.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
16957
130.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
18802
144.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
18675
144.4 IPS |
|
|
Style Transfer (SP)
|
100% |
44688
57.4 IPS |
|
|
Style Transfer (HP)
|
100% |
49960
64.2 IPS |
|
|
Style Transfer (Q)
|
100% |
49566
63.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8906
328.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9679
357.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7458
276.3 IPS |
|
|
Text Classification (SP)
|
100% |
502
669.7 IPS |
|
|
Text Classification (HP)
|
100% |
661
882.0 IPS |
|
|
Text Classification (Q)
|
93% |
657
881.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1001
17.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1141
19.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1279
22.1 IPS |
