MacBook Pro (14-inch, 2021)
Geekbench AI Score
3686
Single Precision Score
13669
Half Precision Score
13966
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Eterius |
| Upload Date | August 16 2024 11:26 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| 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 | 3.17 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1315
244.5 IPS |
|
|
Image Classification (HP)
|
100% |
6696
1.25 KIPS |
|
|
Image Classification (Q)
|
99% |
7080
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1562
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5832
94.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
5824
94.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11176
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
68109
79.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
65000
76.2 IPS |
|
|
Object Detection (SP)
|
100% |
1567
124.3 IPS |
|
|
Object Detection (HP)
|
99% |
7202
572.9 IPS |
|
|
Object Detection (Q)
|
91% |
7257
579.8 IPS |
|
|
Face Detection (SP)
|
100% |
3207
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
11526
137.0 IPS |
|
|
Face Detection (Q)
|
100% |
11908
141.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5799
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
44829
345.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
48177
372.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22213
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
116104
149.3 IPS |
|
|
Style Transfer (Q)
|
100% |
121348
156.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4329
159.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25302
934.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
26947
998.4 IPS |
|
|
Text Classification (SP)
|
100% |
2207
2.95 KIPS |
|
|
Text Classification (HP)
|
100% |
3739
4.99 KIPS |
|
|
Text Classification (Q)
|
93% |
3742
5.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3262
56.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2096
36.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2069
35.8 IPS |
