MacBook Pro (16-inch, 2021)
Geekbench AI Score
7059
Single Precision Score
7163
Half Precision Score
6200
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | darkagarka |
| Upload Date | August 17 2024 09:14 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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% |
3712
690.3 IPS |
|
|
Image Classification (HP)
|
100% |
3750
697.5 IPS |
|
|
Image Classification (Q)
|
99% |
3252
606.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
6009
97.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6127
99.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
5906
95.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
32984
38.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
34313
40.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
30669
35.9 IPS |
|
|
Object Detection (SP)
|
100% |
3819
302.9 IPS |
|
|
Object Detection (HP)
|
100% |
4018
318.7 IPS |
|
|
Object Detection (Q)
|
92% |
3082
246.0 IPS |
|
|
Face Detection (SP)
|
100% |
12914
153.4 IPS |
|
|
Face Detection (HP)
|
100% |
13503
160.4 IPS |
|
|
Face Detection (Q)
|
100% |
8885
105.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
19801
152.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
20267
156.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
20240
156.5 IPS |
|
|
Style Transfer (SP)
|
100% |
53409
68.7 IPS |
|
|
Style Transfer (HP)
|
100% |
63312
81.4 IPS |
|
|
Style Transfer (Q)
|
100% |
63817
82.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11242
415.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11883
438.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8789
325.6 IPS |
|
|
Text Classification (SP)
|
100% |
754
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
542
723.9 IPS |
|
|
Text Classification (Q)
|
93% |
464
623.2 IPS |
|
|
Machine Translation (SP)
|
100% |
945
16.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1007
17.3 IPS |
|
|
Machine Translation (Q)
|
98% |
988
17.1 IPS |
