MacBook Pro (16-inch, 2021)
Geekbench AI Score
3674
Single Precision Score
16551
Half Precision Score
16497
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | unlobito |
| Upload Date | April 13 2025 04:44 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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% |
1344
250.0 IPS |
|
|
Image Classification (HP)
|
100% |
6981
1.30 KIPS |
|
|
Image Classification (Q)
|
96% |
6658
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1530
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9692
157.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10452
169.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11075
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
71330
83.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
67851
79.5 IPS |
|
|
Object Detection (SP)
|
100% |
1550
122.9 IPS |
|
|
Object Detection (HP)
|
99% |
8061
641.2 IPS |
|
|
Object Detection (Q)
|
91% |
7567
604.6 IPS |
|
|
Face Detection (SP)
|
100% |
3239
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
16093
191.2 IPS |
|
|
Face Detection (Q)
|
100% |
15194
180.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5830
44.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
51714
398.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
53854
420.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21952
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
121265
155.9 IPS |
|
|
Style Transfer (Q)
|
96% |
117009
151.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4347
160.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26118
964.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28317
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2290
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4053
5.41 KIPS |
|
|
Text Classification (Q)
|
93% |
3988
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3081
53.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3712
63.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3867
66.8 IPS |
