MacBook Pro (16-inch, 2021)
Geekbench AI Score
3714
Single Precision Score
13728
Half Precision Score
14137
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | tboneuk1691 |
| Upload Date | August 15 2024 08:17 PM |
| Views | 15 |
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 (16-inch, 2021) |
| Model ID | MacBookPro18,1 |
| Motherboard | MacBookPro18,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1327
246.7 IPS |
|
|
Image Classification (HP)
|
100% |
6792
1.26 KIPS |
|
|
Image Classification (Q)
|
99% |
7055
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1584
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5842
94.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
5853
94.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11141
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
68091
79.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
64741
75.9 IPS |
|
|
Object Detection (SP)
|
100% |
1573
124.8 IPS |
|
|
Object Detection (HP)
|
99% |
7201
572.9 IPS |
|
|
Object Detection (Q)
|
91% |
7262
580.3 IPS |
|
|
Face Detection (SP)
|
100% |
3284
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
11930
141.8 IPS |
|
|
Face Detection (Q)
|
100% |
13345
158.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5883
45.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
45300
349.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
48256
373.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22394
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
116721
150.0 IPS |
|
|
Style Transfer (Q)
|
100% |
122550
157.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4318
159.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25129
927.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
27237
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2205
2.94 KIPS |
|
|
Text Classification (HP)
|
100% |
3717
4.96 KIPS |
|
|
Text Classification (Q)
|
93% |
3675
4.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3298
56.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2074
35.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2080
35.9 IPS |
