MacBook Pro (16-inch, 2021)
Geekbench AI Score
7240
Single Precision Score
6850
Half Precision Score
6103
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | andersliland |
| Upload Date | August 28 2024 04:37 PM |
| Views | 5 |
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 | 3.21 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3675
683.4 IPS |
|
|
Image Classification (HP)
|
100% |
3762
699.6 IPS |
|
|
Image Classification (Q)
|
99% |
3282
612.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
5912
95.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6121
99.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
5888
95.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
32773
38.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
33949
39.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
30243
35.4 IPS |
|
|
Object Detection (SP)
|
100% |
3601
285.7 IPS |
|
|
Object Detection (HP)
|
100% |
3923
311.2 IPS |
|
|
Object Detection (Q)
|
92% |
2970
237.1 IPS |
|
|
Face Detection (SP)
|
100% |
11986
142.4 IPS |
|
|
Face Detection (HP)
|
100% |
12401
147.3 IPS |
|
|
Face Detection (Q)
|
100% |
8864
105.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
19619
151.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
19887
153.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
19744
152.7 IPS |
|
|
Style Transfer (SP)
|
100% |
53364
68.6 IPS |
|
|
Style Transfer (HP)
|
100% |
63078
81.1 IPS |
|
|
Style Transfer (Q)
|
100% |
63443
81.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11064
408.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11603
428.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8534
316.2 IPS |
|
|
Text Classification (SP)
|
100% |
1163
1.55 KIPS |
|
|
Text Classification (HP)
|
100% |
431
574.8 IPS |
|
|
Text Classification (Q)
|
93% |
436
585.4 IPS |
|
|
Machine Translation (SP)
|
100% |
956
16.5 IPS |
|
|
Machine Translation (HP)
|
100% |
954
16.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1000
17.3 IPS |
