MacBook Pro (16-inch, 2021)
Geekbench AI Score
3651
Single Precision Score
16487
Half Precision Score
16459
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | mr_javer |
| Upload Date | August 29 2025 06:54 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
1346
250.3 IPS |
|
|
Image Classification (HP)
|
100% |
6928
1.29 KIPS |
|
|
Image Classification (Q)
|
96% |
6647
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1519
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9698
157.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10438
169.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11091
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
69704
81.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
67937
79.6 IPS |
|
|
Object Detection (SP)
|
100% |
1557
123.5 IPS |
|
|
Object Detection (HP)
|
99% |
8041
639.6 IPS |
|
|
Object Detection (Q)
|
91% |
7607
607.8 IPS |
|
|
Face Detection (SP)
|
100% |
3253
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
16112
191.4 IPS |
|
|
Face Detection (Q)
|
100% |
15022
178.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5712
44.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
51832
399.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
53267
416.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21970
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
120955
155.5 IPS |
|
|
Style Transfer (Q)
|
96% |
117141
151.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4391
162.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26042
961.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27944
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2307
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4021
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4003
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
2884
49.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3727
64.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3882
67.1 IPS |
