MacBook Pro (16-inch, 2021)
Geekbench AI Score
2731
Single Precision Score
4177
Half Precision Score
3455
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | andrewkendall |
| Upload Date | August 15 2024 06:27 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1251
232.6 IPS |
|
|
Image Classification (HP)
|
100% |
1606
298.6 IPS |
|
|
Image Classification (Q)
|
99% |
1594
297.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1187
19.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1188
19.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
1203
19.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5598
6.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
13103
15.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
11132
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
1343
106.6 IPS |
|
|
Object Detection (HP)
|
97% |
1882
149.8 IPS |
|
|
Object Detection (Q)
|
94% |
1457
116.1 IPS |
|
|
Face Detection (SP)
|
100% |
2539
30.2 IPS |
|
|
Face Detection (HP)
|
100% |
3990
47.4 IPS |
|
|
Face Detection (Q)
|
100% |
2625
31.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5003
38.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
7812
60.4 IPS |
|
|
Depth Estimation (Q)
|
96% |
3531
27.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14645
18.8 IPS |
|
|
Style Transfer (HP)
|
100% |
23516
30.2 IPS |
|
|
Style Transfer (Q)
|
100% |
23545
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3291
121.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4198
155.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3250
120.4 IPS |
|
|
Text Classification (SP)
|
100% |
2229
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3620
4.83 KIPS |
|
|
Text Classification (Q)
|
93% |
3577
4.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
1518
26.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3090
53.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3078
53.2 IPS |
