MacBook Pro (16-inch, 2021)
Geekbench AI Score
3717
Single Precision Score
16287
Half Precision Score
16117
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | August 06 2025 05:54 PM |
| Views | 6 |
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 | 3.19 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1331
247.5 IPS |
|
|
Image Classification (HP)
|
100% |
6805
1.27 KIPS |
|
|
Image Classification (Q)
|
96% |
6478
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1603
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9497
154.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10058
163.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11097
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
71509
83.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
67775
79.4 IPS |
|
|
Object Detection (SP)
|
100% |
1578
125.2 IPS |
|
|
Object Detection (HP)
|
99% |
7772
618.3 IPS |
|
|
Object Detection (Q)
|
91% |
7297
583.1 IPS |
|
|
Face Detection (SP)
|
100% |
3201
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
15563
184.9 IPS |
|
|
Face Detection (Q)
|
100% |
14196
168.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5754
44.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
51176
394.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
53584
418.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22592
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
119928
154.2 IPS |
|
|
Style Transfer (Q)
|
96% |
115139
148.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4452
164.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25830
953.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27567
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2237
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3917
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3906
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3258
56.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3786
65.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3894
67.3 IPS |
