MacBook Pro (16-inch, 2021)
Geekbench AI Score
1903
Single Precision Score
12988
Half Precision Score
10379
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 18 2024 08:46 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
869
161.6 IPS |
|
|
Image Classification (HP)
|
100% |
7287
1.36 KIPS |
|
|
Image Classification (Q)
|
96% |
6524
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
659
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3862
62.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
506
8.21 IPS |
|
|
Pose Estimation (SP)
|
100% |
9684
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
69569
81.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
66938
78.5 IPS |
|
|
Object Detection (SP)
|
100% |
987
78.3 IPS |
|
|
Object Detection (HP)
|
99% |
7527
598.8 IPS |
|
|
Object Detection (Q)
|
93% |
7198
574.3 IPS |
|
|
Face Detection (SP)
|
100% |
1582
18.8 IPS |
|
|
Face Detection (HP)
|
100% |
11408
135.5 IPS |
|
|
Face Detection (Q)
|
100% |
11963
142.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3362
25.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
46175
355.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
54800
428.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11993
15.4 IPS |
|
|
Style Transfer (HP)
|
100% |
118032
151.7 IPS |
|
|
Style Transfer (Q)
|
96% |
115769
149.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2519
93.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18991
701.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23372
863.0 IPS |
|
|
Text Classification (SP)
|
100% |
523
698.2 IPS |
|
|
Text Classification (HP)
|
100% |
3665
4.89 KIPS |
|
|
Text Classification (Q)
|
93% |
2443
3.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1360
23.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2142
36.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2105
36.4 IPS |
