MacBook Pro (16-inch, 2021)
Geekbench AI Score
3729
Single Precision Score
13847
Half Precision Score
14188
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | chrismclay |
| Upload Date | August 24 2024 03:10 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5327a) |
| 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% |
1352
251.4 IPS |
|
|
Image Classification (HP)
|
100% |
6886
1.28 KIPS |
|
|
Image Classification (Q)
|
99% |
7082
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1579
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5863
95.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
5898
95.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11150
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
67874
79.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
64331
75.5 IPS |
|
|
Object Detection (SP)
|
100% |
1580
125.3 IPS |
|
|
Object Detection (HP)
|
99% |
7300
580.7 IPS |
|
|
Object Detection (Q)
|
91% |
7289
582.4 IPS |
|
|
Face Detection (SP)
|
100% |
3252
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
11946
141.9 IPS |
|
|
Face Detection (Q)
|
100% |
13217
157.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5936
45.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
45272
348.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
48116
372.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22473
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
116661
150.0 IPS |
|
|
Style Transfer (Q)
|
100% |
121624
156.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4326
159.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25443
939.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
27390
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2234
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3786
5.05 KIPS |
|
|
Text Classification (Q)
|
93% |
3762
5.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3304
56.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2133
36.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2118
36.6 IPS |
