MacBook Pro (16-inch, 2021)
Geekbench AI Score
3757
Single Precision Score
16400
Half Precision Score
16405
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | jmsolomon2000 |
| Upload Date | November 12 2024 07:14 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 | 3.16 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1343
249.8 IPS |
|
|
Image Classification (HP)
|
100% |
6849
1.27 KIPS |
|
|
Image Classification (Q)
|
96% |
6706
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1640
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9769
158.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10446
169.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11294
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
71482
83.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
67817
79.5 IPS |
|
|
Object Detection (SP)
|
100% |
1583
125.6 IPS |
|
|
Object Detection (HP)
|
99% |
8090
643.5 IPS |
|
|
Object Detection (Q)
|
91% |
7504
599.6 IPS |
|
|
Face Detection (SP)
|
100% |
3248
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
16101
191.3 IPS |
|
|
Face Detection (Q)
|
100% |
15281
181.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5906
45.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
51343
395.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
53604
418.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22447
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
120681
155.1 IPS |
|
|
Style Transfer (Q)
|
96% |
115964
149.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4344
160.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25972
959.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28087
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2286
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3951
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
3967
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3328
57.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3554
61.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3742
64.7 IPS |
