MacBook Pro (16-inch, 2021)
Geekbench AI Score
7360
Single Precision Score
7401
Half Precision Score
2392
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 18 2024 08:42 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3793
705.3 IPS |
|
|
Image Classification (HP)
|
100% |
3880
721.6 IPS |
|
|
Image Classification (Q)
|
97% |
2959
552.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
6062
98.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6177
100.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
5951
96.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
32995
38.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
34299
40.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
30795
36.1 IPS |
|
|
Object Detection (SP)
|
100% |
3848
305.2 IPS |
|
|
Object Detection (HP)
|
100% |
3960
314.1 IPS |
|
|
Object Detection (Q)
|
92% |
3079
245.7 IPS |
|
|
Face Detection (SP)
|
100% |
12687
150.7 IPS |
|
|
Face Detection (HP)
|
100% |
13304
158.1 IPS |
|
|
Face Detection (Q)
|
100% |
9213
109.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
19701
151.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
20213
155.7 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
122.1 IPS |
|
|
Style Transfer (SP)
|
100% |
53477
68.7 IPS |
|
|
Style Transfer (HP)
|
100% |
63139
81.2 IPS |
|
|
Style Transfer (Q)
|
96% |
60194
77.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11058
408.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11777
434.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8928
329.7 IPS |
|
|
Text Classification (SP)
|
100% |
1065
1.42 KIPS |
|
|
Text Classification (HP)
|
100% |
740
987.9 IPS |
|
|
Text Classification (Q)
|
93% |
723
970.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1015
17.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1024
17.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1027
17.7 IPS |
