MacBook Pro (16-inch, 2021)
Geekbench AI Score
3738
Single Precision Score
15671
Half Precision Score
15677
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | purity |
| Upload Date | January 01 2025 11:37 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
1295
240.8 IPS |
|
|
Image Classification (HP)
|
100% |
6333
1.18 KIPS |
|
|
Image Classification (Q)
|
96% |
6147
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1620
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9446
153.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10057
163.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11223
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
69063
80.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
66182
77.6 IPS |
|
|
Object Detection (SP)
|
100% |
1581
125.4 IPS |
|
|
Object Detection (HP)
|
99% |
7492
596.0 IPS |
|
|
Object Detection (Q)
|
91% |
7044
562.9 IPS |
|
|
Face Detection (SP)
|
100% |
3289
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
14804
175.9 IPS |
|
|
Face Detection (Q)
|
100% |
14234
169.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5956
45.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
49690
382.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
52028
406.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22375
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
118814
152.7 IPS |
|
|
Style Transfer (Q)
|
96% |
114847
148.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4339
160.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25774
951.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27800
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2280
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3904
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3896
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3306
56.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3283
56.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3378
58.4 IPS |
