MacBook Pro (16-inch, 2021)
Geekbench AI Score
2668
Single Precision Score
4094
Half Precision Score
3560
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | neph |
| Upload Date | February 06 2025 10:39 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1270
236.2 IPS |
|
|
Image Classification (HP)
|
100% |
1583
294.5 IPS |
|
|
Image Classification (Q)
|
96% |
1246
232.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1182
19.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1156
18.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1680
27.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5439
6.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
12795
14.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
11114
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
1276
101.2 IPS |
|
|
Object Detection (HP)
|
97% |
1836
146.2 IPS |
|
|
Object Detection (Q)
|
94% |
1436
114.4 IPS |
|
|
Face Detection (SP)
|
100% |
2408
28.6 IPS |
|
|
Face Detection (HP)
|
100% |
3906
46.4 IPS |
|
|
Face Detection (Q)
|
100% |
2553
30.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4886
37.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
7597
58.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
5857
45.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14491
18.6 IPS |
|
|
Style Transfer (HP)
|
100% |
23134
29.7 IPS |
|
|
Style Transfer (Q)
|
96% |
19224
24.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3240
119.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4185
154.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3243
119.7 IPS |
|
|
Text Classification (SP)
|
100% |
2229
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3577
4.77 KIPS |
|
|
Text Classification (Q)
|
93% |
3569
4.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
1425
24.5 IPS |
|
|
Machine Translation (HP)
|
98% |
2996
51.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2946
50.9 IPS |
