MacBook Pro (14-inch, 2021)
Geekbench AI Score
3750
Single Precision Score
5734
Half Precision Score
4876
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | yuyhero |
| Upload Date | November 10 2024 09:46 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,3 |
| Motherboard | MacBookPro18,3 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1333
247.9 IPS |
|
|
Image Classification (HP)
|
100% |
2055
382.2 IPS |
|
|
Image Classification (Q)
|
99% |
2039
380.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1609
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2278
36.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
2265
36.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11167
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
22540
26.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
16588
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
1582
125.4 IPS |
|
|
Object Detection (HP)
|
97% |
2352
187.2 IPS |
|
|
Object Detection (Q)
|
94% |
1724
137.4 IPS |
|
|
Face Detection (SP)
|
100% |
3283
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
5178
61.5 IPS |
|
|
Face Detection (Q)
|
100% |
3107
36.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6005
46.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10953
84.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
10676
82.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22256
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
35111
45.1 IPS |
|
|
Style Transfer (Q)
|
100% |
34950
44.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4347
160.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6156
227.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3950
146.3 IPS |
|
|
Text Classification (SP)
|
100% |
2294
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4029
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
3923
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3325
57.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3137
54.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3206
55.4 IPS |
